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import Mathlib.Analysis.Calculus.Deriv.Basic
import Mathlib.Analysis.Calculus.FDeriv.Mul
import Mathlib.Analysis.Calculus.FDeriv.Add
#align_import analysis.calculus.deriv.mul from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
universe u v w
noncomputable section
open scoped Classical Topology Filter ENNReal
open Filter Asymptotics Set
open ContinuousLinearMap (smulRight smulRight_one_eq_iff)
variable {𝕜 : Type u} [NontriviallyNormedField 𝕜]
variable {F : Type v} [NormedAddCommGroup F] [NormedSpace 𝕜 F]
variable {E : Type w} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
variable {G : Type*} [NormedAddCommGroup G] [NormedSpace 𝕜 G]
variable {f f₀ f₁ g : 𝕜 → F}
variable {f' f₀' f₁' g' : F}
variable {x : 𝕜}
variable {s t : Set 𝕜}
variable {L L₁ L₂ : Filter 𝕜}
section SMul
variable {𝕜' : Type*} [NontriviallyNormedField 𝕜'] [NormedAlgebra 𝕜 𝕜'] [NormedSpace 𝕜' F]
[IsScalarTower 𝕜 𝕜' F] {c : 𝕜 → 𝕜'} {c' : 𝕜'}
theorem HasDerivWithinAt.smul (hc : HasDerivWithinAt c c' s x) (hf : HasDerivWithinAt f f' s x) :
HasDerivWithinAt (fun y => c y • f y) (c x • f' + c' • f x) s x := by
simpa using (HasFDerivWithinAt.smul hc hf).hasDerivWithinAt
#align has_deriv_within_at.smul HasDerivWithinAt.smul
| Mathlib/Analysis/Calculus/Deriv/Mul.lean | 92 | 95 | theorem HasDerivAt.smul (hc : HasDerivAt c c' x) (hf : HasDerivAt f f' x) :
HasDerivAt (fun y => c y • f y) (c x • f' + c' • f x) x := by |
rw [← hasDerivWithinAt_univ] at *
exact hc.smul hf
|
import Mathlib.Topology.Order.ProjIcc
import Mathlib.Topology.CompactOpen
import Mathlib.Topology.UnitInterval
#align_import topology.path_connected from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
noncomputable section
open scoped Classical
open Topology Filter unitInterval Set Function
variable {X Y : Type*} [TopologicalSpace X] [TopologicalSpace Y] {x y z : X} {ι : Type*}
-- porting note (#5171): removed @[nolint has_nonempty_instance]
structure Path (x y : X) extends C(I, X) where
source' : toFun 0 = x
target' : toFun 1 = y
#align path Path
instance Path.funLike : FunLike (Path x y) I X where
coe := fun γ ↦ ⇑γ.toContinuousMap
coe_injective' := fun γ₁ γ₂ h => by
simp only [DFunLike.coe_fn_eq] at h
cases γ₁; cases γ₂; congr
-- Porting note (#10754): added this instance so that we can use `FunLike.coe` for `CoeFun`
-- this also fixed very strange `simp` timeout issues
instance Path.continuousMapClass : ContinuousMapClass (Path x y) I X where
map_continuous := fun γ => show Continuous γ.toContinuousMap by continuity
-- Porting note: not necessary in light of the instance above
@[ext]
protected theorem Path.ext : ∀ {γ₁ γ₂ : Path x y}, (γ₁ : I → X) = γ₂ → γ₁ = γ₂ := by
rintro ⟨⟨x, h11⟩, h12, h13⟩ ⟨⟨x, h21⟩, h22, h23⟩ rfl
rfl
#align path.ext Path.ext
namespace Path
@[simp]
theorem coe_mk_mk (f : I → X) (h₁) (h₂ : f 0 = x) (h₃ : f 1 = y) :
⇑(mk ⟨f, h₁⟩ h₂ h₃ : Path x y) = f :=
rfl
#align path.coe_mk Path.coe_mk_mk
-- Porting note: the name `Path.coe_mk` better refers to a new lemma below
variable (γ : Path x y)
@[continuity]
protected theorem continuous : Continuous γ :=
γ.continuous_toFun
#align path.continuous Path.continuous
@[simp]
protected theorem source : γ 0 = x :=
γ.source'
#align path.source Path.source
@[simp]
protected theorem target : γ 1 = y :=
γ.target'
#align path.target Path.target
def simps.apply : I → X :=
γ
#align path.simps.apply Path.simps.apply
initialize_simps_projections Path (toFun → simps.apply, -toContinuousMap)
@[simp]
theorem coe_toContinuousMap : ⇑γ.toContinuousMap = γ :=
rfl
#align path.coe_to_continuous_map Path.coe_toContinuousMap
-- Porting note: this is needed because of the `Path.continuousMapClass` instance
@[simp]
theorem coe_mk : ⇑(γ : C(I, X)) = γ :=
rfl
instance hasUncurryPath {X α : Type*} [TopologicalSpace X] {x y : α → X} :
HasUncurry (∀ a : α, Path (x a) (y a)) (α × I) X :=
⟨fun φ p => φ p.1 p.2⟩
#align path.has_uncurry_path Path.hasUncurryPath
@[refl, simps]
def refl (x : X) : Path x x where
toFun _t := x
continuous_toFun := continuous_const
source' := rfl
target' := rfl
#align path.refl Path.refl
@[simp]
theorem refl_range {a : X} : range (Path.refl a) = {a} := by simp [Path.refl, CoeFun.coe]
#align path.refl_range Path.refl_range
@[symm, simps]
def symm (γ : Path x y) : Path y x where
toFun := γ ∘ σ
continuous_toFun := by continuity
source' := by simpa [-Path.target] using γ.target
target' := by simpa [-Path.source] using γ.source
#align path.symm Path.symm
@[simp]
theorem symm_symm (γ : Path x y) : γ.symm.symm = γ := by
ext t
show γ (σ (σ t)) = γ t
rw [unitInterval.symm_symm]
#align path.symm_symm Path.symm_symm
theorem symm_bijective : Function.Bijective (Path.symm : Path x y → Path y x) :=
Function.bijective_iff_has_inverse.mpr ⟨_, symm_symm, symm_symm⟩
@[simp]
theorem refl_symm {a : X} : (Path.refl a).symm = Path.refl a := by
ext
rfl
#align path.refl_symm Path.refl_symm
@[simp]
theorem symm_range {a b : X} (γ : Path a b) : range γ.symm = range γ := by
ext x
simp only [mem_range, Path.symm, DFunLike.coe, unitInterval.symm, SetCoe.exists, comp_apply,
Subtype.coe_mk]
constructor <;> rintro ⟨y, hy, hxy⟩ <;> refine ⟨1 - y, mem_iff_one_sub_mem.mp hy, ?_⟩ <;>
convert hxy
simp
#align path.symm_range Path.symm_range
open ContinuousMap
instance topologicalSpace : TopologicalSpace (Path x y) :=
TopologicalSpace.induced ((↑) : _ → C(I, X)) ContinuousMap.compactOpen
theorem continuous_eval : Continuous fun p : Path x y × I => p.1 p.2 :=
continuous_eval.comp <| (continuous_induced_dom (α := Path x y)).prod_map continuous_id
#align path.continuous_eval Path.continuous_eval
@[continuity]
theorem _root_.Continuous.path_eval {Y} [TopologicalSpace Y] {f : Y → Path x y} {g : Y → I}
(hf : Continuous f) (hg : Continuous g) : Continuous fun y => f y (g y) :=
Continuous.comp continuous_eval (hf.prod_mk hg)
#align continuous.path_eval Continuous.path_eval
theorem continuous_uncurry_iff {Y} [TopologicalSpace Y] {g : Y → Path x y} :
Continuous ↿g ↔ Continuous g :=
Iff.symm <| continuous_induced_rng.trans
⟨fun h => continuous_uncurry_of_continuous ⟨_, h⟩,
continuous_of_continuous_uncurry (fun (y : Y) ↦ ContinuousMap.mk (g y))⟩
#align path.continuous_uncurry_iff Path.continuous_uncurry_iff
def extend : ℝ → X :=
IccExtend zero_le_one γ
#align path.extend Path.extend
theorem _root_.Continuous.path_extend {γ : Y → Path x y} {f : Y → ℝ} (hγ : Continuous ↿γ)
(hf : Continuous f) : Continuous fun t => (γ t).extend (f t) :=
Continuous.IccExtend hγ hf
#align continuous.path_extend Continuous.path_extend
@[continuity]
theorem continuous_extend : Continuous γ.extend :=
γ.continuous.Icc_extend'
#align path.continuous_extend Path.continuous_extend
theorem _root_.Filter.Tendsto.path_extend
{l r : Y → X} {y : Y} {l₁ : Filter ℝ} {l₂ : Filter X} {γ : ∀ y, Path (l y) (r y)}
(hγ : Tendsto (↿γ) (𝓝 y ×ˢ l₁.map (projIcc 0 1 zero_le_one)) l₂) :
Tendsto (↿fun x => (γ x).extend) (𝓝 y ×ˢ l₁) l₂ :=
Filter.Tendsto.IccExtend _ hγ
#align filter.tendsto.path_extend Filter.Tendsto.path_extend
theorem _root_.ContinuousAt.path_extend {g : Y → ℝ} {l r : Y → X} (γ : ∀ y, Path (l y) (r y))
{y : Y} (hγ : ContinuousAt (↿γ) (y, projIcc 0 1 zero_le_one (g y))) (hg : ContinuousAt g y) :
ContinuousAt (fun i => (γ i).extend (g i)) y :=
hγ.IccExtend (fun x => γ x) hg
#align continuous_at.path_extend ContinuousAt.path_extend
@[simp]
theorem extend_extends {a b : X} (γ : Path a b) {t : ℝ}
(ht : t ∈ (Icc 0 1 : Set ℝ)) : γ.extend t = γ ⟨t, ht⟩ :=
IccExtend_of_mem _ γ ht
#align path.extend_extends Path.extend_extends
theorem extend_zero : γ.extend 0 = x := by simp
#align path.extend_zero Path.extend_zero
theorem extend_one : γ.extend 1 = y := by simp
#align path.extend_one Path.extend_one
@[simp]
theorem extend_extends' {a b : X} (γ : Path a b) (t : (Icc 0 1 : Set ℝ)) : γ.extend t = γ t :=
IccExtend_val _ γ t
#align path.extend_extends' Path.extend_extends'
@[simp]
theorem extend_range {a b : X} (γ : Path a b) :
range γ.extend = range γ :=
IccExtend_range _ γ
#align path.extend_range Path.extend_range
theorem extend_of_le_zero {a b : X} (γ : Path a b) {t : ℝ}
(ht : t ≤ 0) : γ.extend t = a :=
(IccExtend_of_le_left _ _ ht).trans γ.source
#align path.extend_of_le_zero Path.extend_of_le_zero
theorem extend_of_one_le {a b : X} (γ : Path a b) {t : ℝ}
(ht : 1 ≤ t) : γ.extend t = b :=
(IccExtend_of_right_le _ _ ht).trans γ.target
#align path.extend_of_one_le Path.extend_of_one_le
@[simp]
theorem refl_extend {a : X} : (Path.refl a).extend = fun _ => a :=
rfl
#align path.refl_extend Path.refl_extend
def ofLine {f : ℝ → X} (hf : ContinuousOn f I) (h₀ : f 0 = x) (h₁ : f 1 = y) : Path x y where
toFun := f ∘ ((↑) : unitInterval → ℝ)
continuous_toFun := hf.comp_continuous continuous_subtype_val Subtype.prop
source' := h₀
target' := h₁
#align path.of_line Path.ofLine
theorem ofLine_mem {f : ℝ → X} (hf : ContinuousOn f I) (h₀ : f 0 = x) (h₁ : f 1 = y) :
∀ t, ofLine hf h₀ h₁ t ∈ f '' I := fun ⟨t, t_in⟩ => ⟨t, t_in, rfl⟩
#align path.of_line_mem Path.ofLine_mem
attribute [local simp] Iic_def
set_option tactic.skipAssignedInstances false in
@[trans]
def trans (γ : Path x y) (γ' : Path y z) : Path x z where
toFun := (fun t : ℝ => if t ≤ 1 / 2 then γ.extend (2 * t) else γ'.extend (2 * t - 1)) ∘ (↑)
continuous_toFun := by
refine
(Continuous.if_le ?_ ?_ continuous_id continuous_const (by norm_num)).comp
continuous_subtype_val <;>
continuity
source' := by norm_num
target' := by norm_num
#align path.trans Path.trans
theorem trans_apply (γ : Path x y) (γ' : Path y z) (t : I) :
(γ.trans γ') t =
if h : (t : ℝ) ≤ 1 / 2 then γ ⟨2 * t, (mul_pos_mem_iff zero_lt_two).2 ⟨t.2.1, h⟩⟩
else γ' ⟨2 * t - 1, two_mul_sub_one_mem_iff.2 ⟨(not_le.1 h).le, t.2.2⟩⟩ :=
show ite _ _ _ = _ by split_ifs <;> rw [extend_extends]
#align path.trans_apply Path.trans_apply
@[simp]
theorem trans_symm (γ : Path x y) (γ' : Path y z) : (γ.trans γ').symm = γ'.symm.trans γ.symm := by
ext t
simp only [trans_apply, ← one_div, symm_apply, not_le, Function.comp_apply]
split_ifs with h h₁ h₂ <;> rw [coe_symm_eq] at h
· have ht : (t : ℝ) = 1 / 2 := by linarith
norm_num [ht]
· refine congr_arg _ (Subtype.ext ?_)
norm_num [sub_sub_eq_add_sub, mul_sub]
· refine congr_arg _ (Subtype.ext ?_)
norm_num [mul_sub, h]
ring -- TODO norm_num should really do this
· exfalso
linarith
#align path.trans_symm Path.trans_symm
@[simp]
theorem refl_trans_refl {a : X} :
(Path.refl a).trans (Path.refl a) = Path.refl a := by
ext
simp only [Path.trans, ite_self, one_div, Path.refl_extend]
rfl
#align path.refl_trans_refl Path.refl_trans_refl
theorem trans_range {a b c : X} (γ₁ : Path a b) (γ₂ : Path b c) :
range (γ₁.trans γ₂) = range γ₁ ∪ range γ₂ := by
rw [Path.trans]
apply eq_of_subset_of_subset
· rintro x ⟨⟨t, ht0, ht1⟩, hxt⟩
by_cases h : t ≤ 1 / 2
· left
use ⟨2 * t, ⟨by linarith, by linarith⟩⟩
rw [← γ₁.extend_extends]
rwa [coe_mk_mk, Function.comp_apply, if_pos h] at hxt
· right
use ⟨2 * t - 1, ⟨by linarith, by linarith⟩⟩
rw [← γ₂.extend_extends]
rwa [coe_mk_mk, Function.comp_apply, if_neg h] at hxt
· rintro x (⟨⟨t, ht0, ht1⟩, hxt⟩ | ⟨⟨t, ht0, ht1⟩, hxt⟩)
· use ⟨t / 2, ⟨by linarith, by linarith⟩⟩
have : t / 2 ≤ 1 / 2 := (div_le_div_right (zero_lt_two : (0 : ℝ) < 2)).mpr ht1
rw [coe_mk_mk, Function.comp_apply, if_pos this, Subtype.coe_mk]
ring_nf
rwa [γ₁.extend_extends]
· by_cases h : t = 0
· use ⟨1 / 2, ⟨by linarith, by linarith⟩⟩
rw [coe_mk_mk, Function.comp_apply, if_pos le_rfl, Subtype.coe_mk,
mul_one_div_cancel (two_ne_zero' ℝ)]
rw [γ₁.extend_one]
rwa [← γ₂.extend_extends, h, γ₂.extend_zero] at hxt
· use ⟨(t + 1) / 2, ⟨by linarith, by linarith⟩⟩
replace h : t ≠ 0 := h
have ht0 := lt_of_le_of_ne ht0 h.symm
have : ¬(t + 1) / 2 ≤ 1 / 2 := by
rw [not_le]
linarith
rw [coe_mk_mk, Function.comp_apply, Subtype.coe_mk, if_neg this]
ring_nf
rwa [γ₂.extend_extends]
#align path.trans_range Path.trans_range
def map' (γ : Path x y) {f : X → Y} (h : ContinuousOn f (range γ)) : Path (f x) (f y) where
toFun := f ∘ γ
continuous_toFun := h.comp_continuous γ.continuous (fun x ↦ mem_range_self x)
source' := by simp
target' := by simp
def map (γ : Path x y) {f : X → Y} (h : Continuous f) :
Path (f x) (f y) := γ.map' h.continuousOn
#align path.map Path.map
@[simp]
theorem map_coe (γ : Path x y) {f : X → Y} (h : Continuous f) :
(γ.map h : I → Y) = f ∘ γ := by
ext t
rfl
#align path.map_coe Path.map_coe
@[simp]
theorem map_symm (γ : Path x y) {f : X → Y} (h : Continuous f) :
(γ.map h).symm = γ.symm.map h :=
rfl
#align path.map_symm Path.map_symm
@[simp]
theorem map_trans (γ : Path x y) (γ' : Path y z) {f : X → Y}
(h : Continuous f) : (γ.trans γ').map h = (γ.map h).trans (γ'.map h) := by
ext t
rw [trans_apply, map_coe, Function.comp_apply, trans_apply]
split_ifs <;> rfl
#align path.map_trans Path.map_trans
@[simp]
theorem map_id (γ : Path x y) : γ.map continuous_id = γ := by
ext
rfl
#align path.map_id Path.map_id
@[simp]
theorem map_map (γ : Path x y) {Z : Type*} [TopologicalSpace Z]
{f : X → Y} (hf : Continuous f) {g : Y → Z} (hg : Continuous g) :
(γ.map hf).map hg = γ.map (hg.comp hf) := by
ext
rfl
#align path.map_map Path.map_map
def cast (γ : Path x y) {x' y'} (hx : x' = x) (hy : y' = y) : Path x' y' where
toFun := γ
continuous_toFun := γ.continuous
source' := by simp [hx]
target' := by simp [hy]
#align path.cast Path.cast
@[simp]
theorem symm_cast {a₁ a₂ b₁ b₂ : X} (γ : Path a₂ b₂) (ha : a₁ = a₂) (hb : b₁ = b₂) :
(γ.cast ha hb).symm = γ.symm.cast hb ha :=
rfl
#align path.symm_cast Path.symm_cast
@[simp]
theorem trans_cast {a₁ a₂ b₁ b₂ c₁ c₂ : X} (γ : Path a₂ b₂)
(γ' : Path b₂ c₂) (ha : a₁ = a₂) (hb : b₁ = b₂) (hc : c₁ = c₂) :
(γ.cast ha hb).trans (γ'.cast hb hc) = (γ.trans γ').cast ha hc :=
rfl
#align path.trans_cast Path.trans_cast
@[simp]
theorem cast_coe (γ : Path x y) {x' y'} (hx : x' = x) (hy : y' = y) : (γ.cast hx hy : I → X) = γ :=
rfl
#align path.cast_coe Path.cast_coe
@[continuity]
theorem symm_continuous_family {ι : Type*} [TopologicalSpace ι]
{a b : ι → X} (γ : ∀ t : ι, Path (a t) (b t)) (h : Continuous ↿γ) :
Continuous ↿fun t => (γ t).symm :=
h.comp (continuous_id.prod_map continuous_symm)
#align path.symm_continuous_family Path.symm_continuous_family
@[continuity]
theorem continuous_symm : Continuous (symm : Path x y → Path y x) :=
continuous_uncurry_iff.mp <| symm_continuous_family _ (continuous_fst.path_eval continuous_snd)
#align path.continuous_symm Path.continuous_symm
@[continuity]
theorem continuous_uncurry_extend_of_continuous_family {ι : Type*} [TopologicalSpace ι]
{a b : ι → X} (γ : ∀ t : ι, Path (a t) (b t)) (h : Continuous ↿γ) :
Continuous ↿fun t => (γ t).extend := by
apply h.comp (continuous_id.prod_map continuous_projIcc)
exact zero_le_one
#align path.continuous_uncurry_extend_of_continuous_family Path.continuous_uncurry_extend_of_continuous_family
@[continuity]
theorem trans_continuous_family {ι : Type*} [TopologicalSpace ι]
{a b c : ι → X} (γ₁ : ∀ t : ι, Path (a t) (b t)) (h₁ : Continuous ↿γ₁)
(γ₂ : ∀ t : ι, Path (b t) (c t)) (h₂ : Continuous ↿γ₂) :
Continuous ↿fun t => (γ₁ t).trans (γ₂ t) := by
have h₁' := Path.continuous_uncurry_extend_of_continuous_family γ₁ h₁
have h₂' := Path.continuous_uncurry_extend_of_continuous_family γ₂ h₂
simp only [HasUncurry.uncurry, CoeFun.coe, Path.trans, (· ∘ ·)]
refine Continuous.if_le ?_ ?_ (continuous_subtype_val.comp continuous_snd) continuous_const ?_
· change
Continuous ((fun p : ι × ℝ => (γ₁ p.1).extend p.2) ∘ Prod.map id (fun x => 2 * x : I → ℝ))
exact h₁'.comp (continuous_id.prod_map <| continuous_const.mul continuous_subtype_val)
· change
Continuous ((fun p : ι × ℝ => (γ₂ p.1).extend p.2) ∘ Prod.map id (fun x => 2 * x - 1 : I → ℝ))
exact
h₂'.comp
(continuous_id.prod_map <|
(continuous_const.mul continuous_subtype_val).sub continuous_const)
· rintro st hst
simp [hst, mul_inv_cancel (two_ne_zero' ℝ)]
#align path.trans_continuous_family Path.trans_continuous_family
@[continuity]
| Mathlib/Topology/Connected/PathConnected.lean | 518 | 522 | theorem _root_.Continuous.path_trans {f : Y → Path x y} {g : Y → Path y z} :
Continuous f → Continuous g → Continuous fun t => (f t).trans (g t) := by |
intro hf hg
apply continuous_uncurry_iff.mp
exact trans_continuous_family _ (continuous_uncurry_iff.mpr hf) _ (continuous_uncurry_iff.mpr hg)
|
import Mathlib.Topology.Compactness.SigmaCompact
import Mathlib.Topology.Connected.TotallyDisconnected
import Mathlib.Topology.Inseparable
#align_import topology.separation from "leanprover-community/mathlib"@"d91e7f7a7f1c7e9f0e18fdb6bde4f652004c735d"
open Function Set Filter Topology TopologicalSpace
open scoped Classical
universe u v
variable {X : Type*} {Y : Type*} [TopologicalSpace X]
section Separation
def SeparatedNhds : Set X → Set X → Prop := fun s t : Set X =>
∃ U V : Set X, IsOpen U ∧ IsOpen V ∧ s ⊆ U ∧ t ⊆ V ∧ Disjoint U V
#align separated_nhds SeparatedNhds
theorem separatedNhds_iff_disjoint {s t : Set X} : SeparatedNhds s t ↔ Disjoint (𝓝ˢ s) (𝓝ˢ t) := by
simp only [(hasBasis_nhdsSet s).disjoint_iff (hasBasis_nhdsSet t), SeparatedNhds, exists_prop, ←
exists_and_left, and_assoc, and_comm, and_left_comm]
#align separated_nhds_iff_disjoint separatedNhds_iff_disjoint
alias ⟨SeparatedNhds.disjoint_nhdsSet, _⟩ := separatedNhds_iff_disjoint
class T0Space (X : Type u) [TopologicalSpace X] : Prop where
t0 : ∀ ⦃x y : X⦄, Inseparable x y → x = y
#align t0_space T0Space
theorem t0Space_iff_inseparable (X : Type u) [TopologicalSpace X] :
T0Space X ↔ ∀ x y : X, Inseparable x y → x = y :=
⟨fun ⟨h⟩ => h, fun h => ⟨h⟩⟩
#align t0_space_iff_inseparable t0Space_iff_inseparable
theorem t0Space_iff_not_inseparable (X : Type u) [TopologicalSpace X] :
T0Space X ↔ Pairwise fun x y : X => ¬Inseparable x y := by
simp only [t0Space_iff_inseparable, Ne, not_imp_not, Pairwise]
#align t0_space_iff_not_inseparable t0Space_iff_not_inseparable
theorem Inseparable.eq [T0Space X] {x y : X} (h : Inseparable x y) : x = y :=
T0Space.t0 h
#align inseparable.eq Inseparable.eq
protected theorem Inducing.injective [TopologicalSpace Y] [T0Space X] {f : X → Y}
(hf : Inducing f) : Injective f := fun _ _ h =>
(hf.inseparable_iff.1 <| .of_eq h).eq
#align inducing.injective Inducing.injective
protected theorem Inducing.embedding [TopologicalSpace Y] [T0Space X] {f : X → Y}
(hf : Inducing f) : Embedding f :=
⟨hf, hf.injective⟩
#align inducing.embedding Inducing.embedding
lemma embedding_iff_inducing [TopologicalSpace Y] [T0Space X] {f : X → Y} :
Embedding f ↔ Inducing f :=
⟨Embedding.toInducing, Inducing.embedding⟩
#align embedding_iff_inducing embedding_iff_inducing
theorem t0Space_iff_nhds_injective (X : Type u) [TopologicalSpace X] :
T0Space X ↔ Injective (𝓝 : X → Filter X) :=
t0Space_iff_inseparable X
#align t0_space_iff_nhds_injective t0Space_iff_nhds_injective
theorem nhds_injective [T0Space X] : Injective (𝓝 : X → Filter X) :=
(t0Space_iff_nhds_injective X).1 ‹_›
#align nhds_injective nhds_injective
theorem inseparable_iff_eq [T0Space X] {x y : X} : Inseparable x y ↔ x = y :=
nhds_injective.eq_iff
#align inseparable_iff_eq inseparable_iff_eq
@[simp]
theorem nhds_eq_nhds_iff [T0Space X] {a b : X} : 𝓝 a = 𝓝 b ↔ a = b :=
nhds_injective.eq_iff
#align nhds_eq_nhds_iff nhds_eq_nhds_iff
@[simp]
theorem inseparable_eq_eq [T0Space X] : Inseparable = @Eq X :=
funext₂ fun _ _ => propext inseparable_iff_eq
#align inseparable_eq_eq inseparable_eq_eq
theorem TopologicalSpace.IsTopologicalBasis.inseparable_iff {b : Set (Set X)}
(hb : IsTopologicalBasis b) {x y : X} : Inseparable x y ↔ ∀ s ∈ b, (x ∈ s ↔ y ∈ s) :=
⟨fun h s hs ↦ inseparable_iff_forall_open.1 h _ (hb.isOpen hs),
fun h ↦ hb.nhds_hasBasis.eq_of_same_basis <| by
convert hb.nhds_hasBasis using 2
exact and_congr_right (h _)⟩
theorem TopologicalSpace.IsTopologicalBasis.eq_iff [T0Space X] {b : Set (Set X)}
(hb : IsTopologicalBasis b) {x y : X} : x = y ↔ ∀ s ∈ b, (x ∈ s ↔ y ∈ s) :=
inseparable_iff_eq.symm.trans hb.inseparable_iff
theorem t0Space_iff_exists_isOpen_xor'_mem (X : Type u) [TopologicalSpace X] :
T0Space X ↔ Pairwise fun x y => ∃ U : Set X, IsOpen U ∧ Xor' (x ∈ U) (y ∈ U) := by
simp only [t0Space_iff_not_inseparable, xor_iff_not_iff, not_forall, exists_prop,
inseparable_iff_forall_open, Pairwise]
#align t0_space_iff_exists_is_open_xor_mem t0Space_iff_exists_isOpen_xor'_mem
theorem exists_isOpen_xor'_mem [T0Space X] {x y : X} (h : x ≠ y) :
∃ U : Set X, IsOpen U ∧ Xor' (x ∈ U) (y ∈ U) :=
(t0Space_iff_exists_isOpen_xor'_mem X).1 ‹_› h
#align exists_is_open_xor_mem exists_isOpen_xor'_mem
def specializationOrder (X) [TopologicalSpace X] [T0Space X] : PartialOrder X :=
{ specializationPreorder X, PartialOrder.lift (OrderDual.toDual ∘ 𝓝) nhds_injective with }
#align specialization_order specializationOrder
instance SeparationQuotient.instT0Space : T0Space (SeparationQuotient X) :=
⟨fun x y => Quotient.inductionOn₂' x y fun _ _ h =>
SeparationQuotient.mk_eq_mk.2 <| SeparationQuotient.inducing_mk.inseparable_iff.1 h⟩
theorem minimal_nonempty_closed_subsingleton [T0Space X] {s : Set X} (hs : IsClosed s)
(hmin : ∀ t, t ⊆ s → t.Nonempty → IsClosed t → t = s) : s.Subsingleton := by
clear Y -- Porting note: added
refine fun x hx y hy => of_not_not fun hxy => ?_
rcases exists_isOpen_xor'_mem hxy with ⟨U, hUo, hU⟩
wlog h : x ∈ U ∧ y ∉ U
· refine this hs hmin y hy x hx (Ne.symm hxy) U hUo hU.symm (hU.resolve_left h)
cases' h with hxU hyU
have : s \ U = s := hmin (s \ U) diff_subset ⟨y, hy, hyU⟩ (hs.sdiff hUo)
exact (this.symm.subset hx).2 hxU
#align minimal_nonempty_closed_subsingleton minimal_nonempty_closed_subsingleton
theorem minimal_nonempty_closed_eq_singleton [T0Space X] {s : Set X} (hs : IsClosed s)
(hne : s.Nonempty) (hmin : ∀ t, t ⊆ s → t.Nonempty → IsClosed t → t = s) : ∃ x, s = {x} :=
exists_eq_singleton_iff_nonempty_subsingleton.2
⟨hne, minimal_nonempty_closed_subsingleton hs hmin⟩
#align minimal_nonempty_closed_eq_singleton minimal_nonempty_closed_eq_singleton
theorem IsClosed.exists_closed_singleton [T0Space X] [CompactSpace X] {S : Set X}
(hS : IsClosed S) (hne : S.Nonempty) : ∃ x : X, x ∈ S ∧ IsClosed ({x} : Set X) := by
obtain ⟨V, Vsub, Vne, Vcls, hV⟩ := hS.exists_minimal_nonempty_closed_subset hne
rcases minimal_nonempty_closed_eq_singleton Vcls Vne hV with ⟨x, rfl⟩
exact ⟨x, Vsub (mem_singleton x), Vcls⟩
#align is_closed.exists_closed_singleton IsClosed.exists_closed_singleton
theorem minimal_nonempty_open_subsingleton [T0Space X] {s : Set X} (hs : IsOpen s)
(hmin : ∀ t, t ⊆ s → t.Nonempty → IsOpen t → t = s) : s.Subsingleton := by
clear Y -- Porting note: added
refine fun x hx y hy => of_not_not fun hxy => ?_
rcases exists_isOpen_xor'_mem hxy with ⟨U, hUo, hU⟩
wlog h : x ∈ U ∧ y ∉ U
· exact this hs hmin y hy x hx (Ne.symm hxy) U hUo hU.symm (hU.resolve_left h)
cases' h with hxU hyU
have : s ∩ U = s := hmin (s ∩ U) inter_subset_left ⟨x, hx, hxU⟩ (hs.inter hUo)
exact hyU (this.symm.subset hy).2
#align minimal_nonempty_open_subsingleton minimal_nonempty_open_subsingleton
theorem minimal_nonempty_open_eq_singleton [T0Space X] {s : Set X} (hs : IsOpen s)
(hne : s.Nonempty) (hmin : ∀ t, t ⊆ s → t.Nonempty → IsOpen t → t = s) : ∃ x, s = {x} :=
exists_eq_singleton_iff_nonempty_subsingleton.2 ⟨hne, minimal_nonempty_open_subsingleton hs hmin⟩
#align minimal_nonempty_open_eq_singleton minimal_nonempty_open_eq_singleton
theorem exists_isOpen_singleton_of_isOpen_finite [T0Space X] {s : Set X} (hfin : s.Finite)
(hne : s.Nonempty) (ho : IsOpen s) : ∃ x ∈ s, IsOpen ({x} : Set X) := by
lift s to Finset X using hfin
induction' s using Finset.strongInductionOn with s ihs
rcases em (∃ t, t ⊂ s ∧ t.Nonempty ∧ IsOpen (t : Set X)) with (⟨t, hts, htne, hto⟩ | ht)
· rcases ihs t hts htne hto with ⟨x, hxt, hxo⟩
exact ⟨x, hts.1 hxt, hxo⟩
· -- Porting note: was `rcases minimal_nonempty_open_eq_singleton ho hne _ with ⟨x, hx⟩`
-- https://github.com/leanprover/std4/issues/116
rsuffices ⟨x, hx⟩ : ∃ x, s.toSet = {x}
· exact ⟨x, hx.symm ▸ rfl, hx ▸ ho⟩
refine minimal_nonempty_open_eq_singleton ho hne ?_
refine fun t hts htne hto => of_not_not fun hts' => ht ?_
lift t to Finset X using s.finite_toSet.subset hts
exact ⟨t, ssubset_iff_subset_ne.2 ⟨hts, mt Finset.coe_inj.2 hts'⟩, htne, hto⟩
#align exists_open_singleton_of_open_finite exists_isOpen_singleton_of_isOpen_finite
theorem exists_open_singleton_of_finite [T0Space X] [Finite X] [Nonempty X] :
∃ x : X, IsOpen ({x} : Set X) :=
let ⟨x, _, h⟩ := exists_isOpen_singleton_of_isOpen_finite (Set.toFinite _)
univ_nonempty isOpen_univ
⟨x, h⟩
#align exists_open_singleton_of_fintype exists_open_singleton_of_finite
theorem t0Space_of_injective_of_continuous [TopologicalSpace Y] {f : X → Y}
(hf : Function.Injective f) (hf' : Continuous f) [T0Space Y] : T0Space X :=
⟨fun _ _ h => hf <| (h.map hf').eq⟩
#align t0_space_of_injective_of_continuous t0Space_of_injective_of_continuous
protected theorem Embedding.t0Space [TopologicalSpace Y] [T0Space Y] {f : X → Y}
(hf : Embedding f) : T0Space X :=
t0Space_of_injective_of_continuous hf.inj hf.continuous
#align embedding.t0_space Embedding.t0Space
instance Subtype.t0Space [T0Space X] {p : X → Prop} : T0Space (Subtype p) :=
embedding_subtype_val.t0Space
#align subtype.t0_space Subtype.t0Space
theorem t0Space_iff_or_not_mem_closure (X : Type u) [TopologicalSpace X] :
T0Space X ↔ Pairwise fun a b : X => a ∉ closure ({b} : Set X) ∨ b ∉ closure ({a} : Set X) := by
simp only [t0Space_iff_not_inseparable, inseparable_iff_mem_closure, not_and_or]
#align t0_space_iff_or_not_mem_closure t0Space_iff_or_not_mem_closure
instance Prod.instT0Space [TopologicalSpace Y] [T0Space X] [T0Space Y] : T0Space (X × Y) :=
⟨fun _ _ h => Prod.ext (h.map continuous_fst).eq (h.map continuous_snd).eq⟩
instance Pi.instT0Space {ι : Type*} {X : ι → Type*} [∀ i, TopologicalSpace (X i)]
[∀ i, T0Space (X i)] :
T0Space (∀ i, X i) :=
⟨fun _ _ h => funext fun i => (h.map (continuous_apply i)).eq⟩
#align pi.t0_space Pi.instT0Space
instance ULift.instT0Space [T0Space X] : T0Space (ULift X) :=
embedding_uLift_down.t0Space
theorem T0Space.of_cover (h : ∀ x y, Inseparable x y → ∃ s : Set X, x ∈ s ∧ y ∈ s ∧ T0Space s) :
T0Space X := by
refine ⟨fun x y hxy => ?_⟩
rcases h x y hxy with ⟨s, hxs, hys, hs⟩
lift x to s using hxs; lift y to s using hys
rw [← subtype_inseparable_iff] at hxy
exact congr_arg Subtype.val hxy.eq
#align t0_space.of_cover T0Space.of_cover
theorem T0Space.of_open_cover (h : ∀ x, ∃ s : Set X, x ∈ s ∧ IsOpen s ∧ T0Space s) : T0Space X :=
T0Space.of_cover fun x _ hxy =>
let ⟨s, hxs, hso, hs⟩ := h x
⟨s, hxs, (hxy.mem_open_iff hso).1 hxs, hs⟩
#align t0_space.of_open_cover T0Space.of_open_cover
@[mk_iff]
class R0Space (X : Type u) [TopologicalSpace X] : Prop where
specializes_symmetric : Symmetric (Specializes : X → X → Prop)
export R0Space (specializes_symmetric)
class T1Space (X : Type u) [TopologicalSpace X] : Prop where
t1 : ∀ x, IsClosed ({x} : Set X)
#align t1_space T1Space
theorem isClosed_singleton [T1Space X] {x : X} : IsClosed ({x} : Set X) :=
T1Space.t1 x
#align is_closed_singleton isClosed_singleton
theorem isOpen_compl_singleton [T1Space X] {x : X} : IsOpen ({x}ᶜ : Set X) :=
isClosed_singleton.isOpen_compl
#align is_open_compl_singleton isOpen_compl_singleton
theorem isOpen_ne [T1Space X] {x : X} : IsOpen { y | y ≠ x } :=
isOpen_compl_singleton
#align is_open_ne isOpen_ne
@[to_additive]
theorem Continuous.isOpen_mulSupport [T1Space X] [One X] [TopologicalSpace Y] {f : Y → X}
(hf : Continuous f) : IsOpen (mulSupport f) :=
isOpen_ne.preimage hf
#align continuous.is_open_mul_support Continuous.isOpen_mulSupport
#align continuous.is_open_support Continuous.isOpen_support
theorem Ne.nhdsWithin_compl_singleton [T1Space X] {x y : X} (h : x ≠ y) : 𝓝[{y}ᶜ] x = 𝓝 x :=
isOpen_ne.nhdsWithin_eq h
#align ne.nhds_within_compl_singleton Ne.nhdsWithin_compl_singleton
theorem Ne.nhdsWithin_diff_singleton [T1Space X] {x y : X} (h : x ≠ y) (s : Set X) :
𝓝[s \ {y}] x = 𝓝[s] x := by
rw [diff_eq, inter_comm, nhdsWithin_inter_of_mem]
exact mem_nhdsWithin_of_mem_nhds (isOpen_ne.mem_nhds h)
#align ne.nhds_within_diff_singleton Ne.nhdsWithin_diff_singleton
lemma nhdsWithin_compl_singleton_le [T1Space X] (x y : X) : 𝓝[{x}ᶜ] x ≤ 𝓝[{y}ᶜ] x := by
rcases eq_or_ne x y with rfl|hy
· exact Eq.le rfl
· rw [Ne.nhdsWithin_compl_singleton hy]
exact nhdsWithin_le_nhds
theorem isOpen_setOf_eventually_nhdsWithin [T1Space X] {p : X → Prop} :
IsOpen { x | ∀ᶠ y in 𝓝[≠] x, p y } := by
refine isOpen_iff_mem_nhds.mpr fun a ha => ?_
filter_upwards [eventually_nhds_nhdsWithin.mpr ha] with b hb
rcases eq_or_ne a b with rfl | h
· exact hb
· rw [h.symm.nhdsWithin_compl_singleton] at hb
exact hb.filter_mono nhdsWithin_le_nhds
#align is_open_set_of_eventually_nhds_within isOpen_setOf_eventually_nhdsWithin
protected theorem Set.Finite.isClosed [T1Space X] {s : Set X} (hs : Set.Finite s) : IsClosed s := by
rw [← biUnion_of_singleton s]
exact hs.isClosed_biUnion fun i _ => isClosed_singleton
#align set.finite.is_closed Set.Finite.isClosed
theorem TopologicalSpace.IsTopologicalBasis.exists_mem_of_ne [T1Space X] {b : Set (Set X)}
(hb : IsTopologicalBasis b) {x y : X} (h : x ≠ y) : ∃ a ∈ b, x ∈ a ∧ y ∉ a := by
rcases hb.isOpen_iff.1 isOpen_ne x h with ⟨a, ab, xa, ha⟩
exact ⟨a, ab, xa, fun h => ha h rfl⟩
#align topological_space.is_topological_basis.exists_mem_of_ne TopologicalSpace.IsTopologicalBasis.exists_mem_of_ne
protected theorem Finset.isClosed [T1Space X] (s : Finset X) : IsClosed (s : Set X) :=
s.finite_toSet.isClosed
#align finset.is_closed Finset.isClosed
theorem t1Space_TFAE (X : Type u) [TopologicalSpace X] :
List.TFAE [T1Space X,
∀ x, IsClosed ({ x } : Set X),
∀ x, IsOpen ({ x }ᶜ : Set X),
Continuous (@CofiniteTopology.of X),
∀ ⦃x y : X⦄, x ≠ y → {y}ᶜ ∈ 𝓝 x,
∀ ⦃x y : X⦄, x ≠ y → ∃ s ∈ 𝓝 x, y ∉ s,
∀ ⦃x y : X⦄, x ≠ y → ∃ U : Set X, IsOpen U ∧ x ∈ U ∧ y ∉ U,
∀ ⦃x y : X⦄, x ≠ y → Disjoint (𝓝 x) (pure y),
∀ ⦃x y : X⦄, x ≠ y → Disjoint (pure x) (𝓝 y),
∀ ⦃x y : X⦄, x ⤳ y → x = y] := by
tfae_have 1 ↔ 2
· exact ⟨fun h => h.1, fun h => ⟨h⟩⟩
tfae_have 2 ↔ 3
· simp only [isOpen_compl_iff]
tfae_have 5 ↔ 3
· refine forall_swap.trans ?_
simp only [isOpen_iff_mem_nhds, mem_compl_iff, mem_singleton_iff]
tfae_have 5 ↔ 6
· simp only [← subset_compl_singleton_iff, exists_mem_subset_iff]
tfae_have 5 ↔ 7
· simp only [(nhds_basis_opens _).mem_iff, subset_compl_singleton_iff, exists_prop, and_assoc,
and_left_comm]
tfae_have 5 ↔ 8
· simp only [← principal_singleton, disjoint_principal_right]
tfae_have 8 ↔ 9
· exact forall_swap.trans (by simp only [disjoint_comm, ne_comm])
tfae_have 1 → 4
· simp only [continuous_def, CofiniteTopology.isOpen_iff']
rintro H s (rfl | hs)
exacts [isOpen_empty, compl_compl s ▸ (@Set.Finite.isClosed _ _ H _ hs).isOpen_compl]
tfae_have 4 → 2
· exact fun h x => (CofiniteTopology.isClosed_iff.2 <| Or.inr (finite_singleton _)).preimage h
tfae_have 2 ↔ 10
· simp only [← closure_subset_iff_isClosed, specializes_iff_mem_closure, subset_def,
mem_singleton_iff, eq_comm]
tfae_finish
#align t1_space_tfae t1Space_TFAE
theorem t1Space_iff_continuous_cofinite_of : T1Space X ↔ Continuous (@CofiniteTopology.of X) :=
(t1Space_TFAE X).out 0 3
#align t1_space_iff_continuous_cofinite_of t1Space_iff_continuous_cofinite_of
theorem CofiniteTopology.continuous_of [T1Space X] : Continuous (@CofiniteTopology.of X) :=
t1Space_iff_continuous_cofinite_of.mp ‹_›
#align cofinite_topology.continuous_of CofiniteTopology.continuous_of
theorem t1Space_iff_exists_open :
T1Space X ↔ Pairwise fun x y => ∃ U : Set X, IsOpen U ∧ x ∈ U ∧ y ∉ U :=
(t1Space_TFAE X).out 0 6
#align t1_space_iff_exists_open t1Space_iff_exists_open
theorem t1Space_iff_disjoint_pure_nhds : T1Space X ↔ ∀ ⦃x y : X⦄, x ≠ y → Disjoint (pure x) (𝓝 y) :=
(t1Space_TFAE X).out 0 8
#align t1_space_iff_disjoint_pure_nhds t1Space_iff_disjoint_pure_nhds
theorem t1Space_iff_disjoint_nhds_pure : T1Space X ↔ ∀ ⦃x y : X⦄, x ≠ y → Disjoint (𝓝 x) (pure y) :=
(t1Space_TFAE X).out 0 7
#align t1_space_iff_disjoint_nhds_pure t1Space_iff_disjoint_nhds_pure
theorem t1Space_iff_specializes_imp_eq : T1Space X ↔ ∀ ⦃x y : X⦄, x ⤳ y → x = y :=
(t1Space_TFAE X).out 0 9
#align t1_space_iff_specializes_imp_eq t1Space_iff_specializes_imp_eq
theorem disjoint_pure_nhds [T1Space X] {x y : X} (h : x ≠ y) : Disjoint (pure x) (𝓝 y) :=
t1Space_iff_disjoint_pure_nhds.mp ‹_› h
#align disjoint_pure_nhds disjoint_pure_nhds
theorem disjoint_nhds_pure [T1Space X] {x y : X} (h : x ≠ y) : Disjoint (𝓝 x) (pure y) :=
t1Space_iff_disjoint_nhds_pure.mp ‹_› h
#align disjoint_nhds_pure disjoint_nhds_pure
theorem Specializes.eq [T1Space X] {x y : X} (h : x ⤳ y) : x = y :=
t1Space_iff_specializes_imp_eq.1 ‹_› h
#align specializes.eq Specializes.eq
theorem specializes_iff_eq [T1Space X] {x y : X} : x ⤳ y ↔ x = y :=
⟨Specializes.eq, fun h => h ▸ specializes_rfl⟩
#align specializes_iff_eq specializes_iff_eq
@[simp] theorem specializes_eq_eq [T1Space X] : (· ⤳ ·) = @Eq X :=
funext₂ fun _ _ => propext specializes_iff_eq
#align specializes_eq_eq specializes_eq_eq
@[simp]
theorem pure_le_nhds_iff [T1Space X] {a b : X} : pure a ≤ 𝓝 b ↔ a = b :=
specializes_iff_pure.symm.trans specializes_iff_eq
#align pure_le_nhds_iff pure_le_nhds_iff
@[simp]
theorem nhds_le_nhds_iff [T1Space X] {a b : X} : 𝓝 a ≤ 𝓝 b ↔ a = b :=
specializes_iff_eq
#align nhds_le_nhds_iff nhds_le_nhds_iff
instance (priority := 100) [T1Space X] : R0Space X where
specializes_symmetric _ _ := by rw [specializes_iff_eq, specializes_iff_eq]; exact Eq.symm
instance : T1Space (CofiniteTopology X) :=
t1Space_iff_continuous_cofinite_of.mpr continuous_id
theorem t1Space_antitone : Antitone (@T1Space X) := fun a _ h _ =>
@T1Space.mk _ a fun x => (T1Space.t1 x).mono h
#align t1_space_antitone t1Space_antitone
theorem continuousWithinAt_update_of_ne [T1Space X] [DecidableEq X] [TopologicalSpace Y] {f : X → Y}
{s : Set X} {x x' : X} {y : Y} (hne : x' ≠ x) :
ContinuousWithinAt (Function.update f x y) s x' ↔ ContinuousWithinAt f s x' :=
EventuallyEq.congr_continuousWithinAt
(mem_nhdsWithin_of_mem_nhds <| mem_of_superset (isOpen_ne.mem_nhds hne) fun _y' hy' =>
Function.update_noteq hy' _ _)
(Function.update_noteq hne _ _)
#align continuous_within_at_update_of_ne continuousWithinAt_update_of_ne
theorem continuousAt_update_of_ne [T1Space X] [DecidableEq X] [TopologicalSpace Y]
{f : X → Y} {x x' : X} {y : Y} (hne : x' ≠ x) :
ContinuousAt (Function.update f x y) x' ↔ ContinuousAt f x' := by
simp only [← continuousWithinAt_univ, continuousWithinAt_update_of_ne hne]
#align continuous_at_update_of_ne continuousAt_update_of_ne
theorem continuousOn_update_iff [T1Space X] [DecidableEq X] [TopologicalSpace Y] {f : X → Y}
{s : Set X} {x : X} {y : Y} :
ContinuousOn (Function.update f x y) s ↔
ContinuousOn f (s \ {x}) ∧ (x ∈ s → Tendsto f (𝓝[s \ {x}] x) (𝓝 y)) := by
rw [ContinuousOn, ← and_forall_ne x, and_comm]
refine and_congr ⟨fun H z hz => ?_, fun H z hzx hzs => ?_⟩ (forall_congr' fun _ => ?_)
· specialize H z hz.2 hz.1
rw [continuousWithinAt_update_of_ne hz.2] at H
exact H.mono diff_subset
· rw [continuousWithinAt_update_of_ne hzx]
refine (H z ⟨hzs, hzx⟩).mono_of_mem (inter_mem_nhdsWithin _ ?_)
exact isOpen_ne.mem_nhds hzx
· exact continuousWithinAt_update_same
#align continuous_on_update_iff continuousOn_update_iff
theorem t1Space_of_injective_of_continuous [TopologicalSpace Y] {f : X → Y}
(hf : Function.Injective f) (hf' : Continuous f) [T1Space Y] : T1Space X :=
t1Space_iff_specializes_imp_eq.2 fun _ _ h => hf (h.map hf').eq
#align t1_space_of_injective_of_continuous t1Space_of_injective_of_continuous
protected theorem Embedding.t1Space [TopologicalSpace Y] [T1Space Y] {f : X → Y}
(hf : Embedding f) : T1Space X :=
t1Space_of_injective_of_continuous hf.inj hf.continuous
#align embedding.t1_space Embedding.t1Space
instance Subtype.t1Space {X : Type u} [TopologicalSpace X] [T1Space X] {p : X → Prop} :
T1Space (Subtype p) :=
embedding_subtype_val.t1Space
#align subtype.t1_space Subtype.t1Space
instance [TopologicalSpace Y] [T1Space X] [T1Space Y] : T1Space (X × Y) :=
⟨fun ⟨a, b⟩ => @singleton_prod_singleton _ _ a b ▸ isClosed_singleton.prod isClosed_singleton⟩
instance {ι : Type*} {X : ι → Type*} [∀ i, TopologicalSpace (X i)] [∀ i, T1Space (X i)] :
T1Space (∀ i, X i) :=
⟨fun f => univ_pi_singleton f ▸ isClosed_set_pi fun _ _ => isClosed_singleton⟩
instance ULift.instT1Space [T1Space X] : T1Space (ULift X) :=
embedding_uLift_down.t1Space
-- see Note [lower instance priority]
instance (priority := 100) TotallyDisconnectedSpace.t1Space [h: TotallyDisconnectedSpace X] :
T1Space X := by
rw [((t1Space_TFAE X).out 0 1 :)]
intro x
rw [← totallyDisconnectedSpace_iff_connectedComponent_singleton.mp h x]
exact isClosed_connectedComponent
-- see Note [lower instance priority]
instance (priority := 100) T1Space.t0Space [T1Space X] : T0Space X :=
⟨fun _ _ h => h.specializes.eq⟩
#align t1_space.t0_space T1Space.t0Space
@[simp]
theorem compl_singleton_mem_nhds_iff [T1Space X] {x y : X} : {x}ᶜ ∈ 𝓝 y ↔ y ≠ x :=
isOpen_compl_singleton.mem_nhds_iff
#align compl_singleton_mem_nhds_iff compl_singleton_mem_nhds_iff
theorem compl_singleton_mem_nhds [T1Space X] {x y : X} (h : y ≠ x) : {x}ᶜ ∈ 𝓝 y :=
compl_singleton_mem_nhds_iff.mpr h
#align compl_singleton_mem_nhds compl_singleton_mem_nhds
@[simp]
theorem closure_singleton [T1Space X] {x : X} : closure ({x} : Set X) = {x} :=
isClosed_singleton.closure_eq
#align closure_singleton closure_singleton
-- Porting note (#11215): TODO: the proof was `hs.induction_on (by simp) fun x => by simp`
theorem Set.Subsingleton.closure [T1Space X] {s : Set X} (hs : s.Subsingleton) :
(closure s).Subsingleton := by
rcases hs.eq_empty_or_singleton with (rfl | ⟨x, rfl⟩) <;> simp
#align set.subsingleton.closure Set.Subsingleton.closure
@[simp]
theorem subsingleton_closure [T1Space X] {s : Set X} : (closure s).Subsingleton ↔ s.Subsingleton :=
⟨fun h => h.anti subset_closure, fun h => h.closure⟩
#align subsingleton_closure subsingleton_closure
theorem isClosedMap_const {X Y} [TopologicalSpace X] [TopologicalSpace Y] [T1Space Y] {y : Y} :
IsClosedMap (Function.const X y) :=
IsClosedMap.of_nonempty fun s _ h2s => by simp_rw [const, h2s.image_const, isClosed_singleton]
#align is_closed_map_const isClosedMap_const
theorem nhdsWithin_insert_of_ne [T1Space X] {x y : X} {s : Set X} (hxy : x ≠ y) :
𝓝[insert y s] x = 𝓝[s] x := by
refine le_antisymm (Filter.le_def.2 fun t ht => ?_) (nhdsWithin_mono x <| subset_insert y s)
obtain ⟨o, ho, hxo, host⟩ := mem_nhdsWithin.mp ht
refine mem_nhdsWithin.mpr ⟨o \ {y}, ho.sdiff isClosed_singleton, ⟨hxo, hxy⟩, ?_⟩
rw [inter_insert_of_not_mem <| not_mem_diff_of_mem (mem_singleton y)]
exact (inter_subset_inter diff_subset Subset.rfl).trans host
#align nhds_within_insert_of_ne nhdsWithin_insert_of_ne
theorem insert_mem_nhdsWithin_of_subset_insert [T1Space X] {x y : X} {s t : Set X}
(hu : t ⊆ insert y s) : insert x s ∈ 𝓝[t] x := by
rcases eq_or_ne x y with (rfl | h)
· exact mem_of_superset self_mem_nhdsWithin hu
refine nhdsWithin_mono x hu ?_
rw [nhdsWithin_insert_of_ne h]
exact mem_of_superset self_mem_nhdsWithin (subset_insert x s)
#align insert_mem_nhds_within_of_subset_insert insert_mem_nhdsWithin_of_subset_insert
@[simp]
theorem ker_nhds [T1Space X] (x : X) : (𝓝 x).ker = {x} := by
simp [ker_nhds_eq_specializes]
theorem biInter_basis_nhds [T1Space X] {ι : Sort*} {p : ι → Prop} {s : ι → Set X} {x : X}
(h : (𝓝 x).HasBasis p s) : ⋂ (i) (_ : p i), s i = {x} := by
rw [← h.ker, ker_nhds]
#align bInter_basis_nhds biInter_basis_nhds
@[simp]
theorem compl_singleton_mem_nhdsSet_iff [T1Space X] {x : X} {s : Set X} : {x}ᶜ ∈ 𝓝ˢ s ↔ x ∉ s := by
rw [isOpen_compl_singleton.mem_nhdsSet, subset_compl_singleton_iff]
#align compl_singleton_mem_nhds_set_iff compl_singleton_mem_nhdsSet_iff
@[simp]
theorem nhdsSet_le_iff [T1Space X] {s t : Set X} : 𝓝ˢ s ≤ 𝓝ˢ t ↔ s ⊆ t := by
refine ⟨?_, fun h => monotone_nhdsSet h⟩
simp_rw [Filter.le_def]; intro h x hx
specialize h {x}ᶜ
simp_rw [compl_singleton_mem_nhdsSet_iff] at h
by_contra hxt
exact h hxt hx
#align nhds_set_le_iff nhdsSet_le_iff
@[simp]
theorem nhdsSet_inj_iff [T1Space X] {s t : Set X} : 𝓝ˢ s = 𝓝ˢ t ↔ s = t := by
simp_rw [le_antisymm_iff]
exact and_congr nhdsSet_le_iff nhdsSet_le_iff
#align nhds_set_inj_iff nhdsSet_inj_iff
theorem injective_nhdsSet [T1Space X] : Function.Injective (𝓝ˢ : Set X → Filter X) := fun _ _ hst =>
nhdsSet_inj_iff.mp hst
#align injective_nhds_set injective_nhdsSet
theorem strictMono_nhdsSet [T1Space X] : StrictMono (𝓝ˢ : Set X → Filter X) :=
monotone_nhdsSet.strictMono_of_injective injective_nhdsSet
#align strict_mono_nhds_set strictMono_nhdsSet
@[simp]
theorem nhds_le_nhdsSet_iff [T1Space X] {s : Set X} {x : X} : 𝓝 x ≤ 𝓝ˢ s ↔ x ∈ s := by
rw [← nhdsSet_singleton, nhdsSet_le_iff, singleton_subset_iff]
#align nhds_le_nhds_set_iff nhds_le_nhdsSet_iff
theorem Dense.diff_singleton [T1Space X] {s : Set X} (hs : Dense s) (x : X) [NeBot (𝓝[≠] x)] :
Dense (s \ {x}) :=
hs.inter_of_isOpen_right (dense_compl_singleton x) isOpen_compl_singleton
#align dense.diff_singleton Dense.diff_singleton
| Mathlib/Topology/Separation.lean | 818 | 824 | theorem Dense.diff_finset [T1Space X] [∀ x : X, NeBot (𝓝[≠] x)] {s : Set X} (hs : Dense s)
(t : Finset X) : Dense (s \ t) := by |
induction t using Finset.induction_on with
| empty => simpa using hs
| insert _ ih =>
rw [Finset.coe_insert, ← union_singleton, ← diff_diff]
exact ih.diff_singleton _
|
import Mathlib.Order.Filter.Lift
import Mathlib.Topology.Defs.Filter
#align_import topology.basic from "leanprover-community/mathlib"@"e354e865255654389cc46e6032160238df2e0f40"
noncomputable section
open Set Filter
universe u v w x
def TopologicalSpace.ofClosed {X : Type u} (T : Set (Set X)) (empty_mem : ∅ ∈ T)
(sInter_mem : ∀ A, A ⊆ T → ⋂₀ A ∈ T)
(union_mem : ∀ A, A ∈ T → ∀ B, B ∈ T → A ∪ B ∈ T) : TopologicalSpace X where
IsOpen X := Xᶜ ∈ T
isOpen_univ := by simp [empty_mem]
isOpen_inter s t hs ht := by simpa only [compl_inter] using union_mem sᶜ hs tᶜ ht
isOpen_sUnion s hs := by
simp only [Set.compl_sUnion]
exact sInter_mem (compl '' s) fun z ⟨y, hy, hz⟩ => hz ▸ hs y hy
#align topological_space.of_closed TopologicalSpace.ofClosed
section TopologicalSpace
variable {X : Type u} {Y : Type v} {ι : Sort w} {α β : Type*}
{x : X} {s s₁ s₂ t : Set X} {p p₁ p₂ : X → Prop}
open Topology
lemma isOpen_mk {p h₁ h₂ h₃} : IsOpen[⟨p, h₁, h₂, h₃⟩] s ↔ p s := Iff.rfl
#align is_open_mk isOpen_mk
@[ext]
protected theorem TopologicalSpace.ext :
∀ {f g : TopologicalSpace X}, IsOpen[f] = IsOpen[g] → f = g
| ⟨_, _, _, _⟩, ⟨_, _, _, _⟩, rfl => rfl
#align topological_space_eq TopologicalSpace.ext
section
variable [TopologicalSpace X]
end
protected theorem TopologicalSpace.ext_iff {t t' : TopologicalSpace X} :
t = t' ↔ ∀ s, IsOpen[t] s ↔ IsOpen[t'] s :=
⟨fun h s => h ▸ Iff.rfl, fun h => by ext; exact h _⟩
#align topological_space_eq_iff TopologicalSpace.ext_iff
theorem isOpen_fold {t : TopologicalSpace X} : t.IsOpen s = IsOpen[t] s :=
rfl
#align is_open_fold isOpen_fold
variable [TopologicalSpace X]
theorem isOpen_iUnion {f : ι → Set X} (h : ∀ i, IsOpen (f i)) : IsOpen (⋃ i, f i) :=
isOpen_sUnion (forall_mem_range.2 h)
#align is_open_Union isOpen_iUnion
theorem isOpen_biUnion {s : Set α} {f : α → Set X} (h : ∀ i ∈ s, IsOpen (f i)) :
IsOpen (⋃ i ∈ s, f i) :=
isOpen_iUnion fun i => isOpen_iUnion fun hi => h i hi
#align is_open_bUnion isOpen_biUnion
| Mathlib/Topology/Basic.lean | 115 | 116 | theorem IsOpen.union (h₁ : IsOpen s₁) (h₂ : IsOpen s₂) : IsOpen (s₁ ∪ s₂) := by |
rw [union_eq_iUnion]; exact isOpen_iUnion (Bool.forall_bool.2 ⟨h₂, h₁⟩)
|
import Mathlib.Data.Finsupp.Multiset
import Mathlib.Order.Bounded
import Mathlib.SetTheory.Cardinal.PartENat
import Mathlib.SetTheory.Ordinal.Principal
import Mathlib.Tactic.Linarith
#align_import set_theory.cardinal.ordinal from "leanprover-community/mathlib"@"7c2ce0c2da15516b4e65d0c9e254bb6dc93abd1f"
noncomputable section
open Function Set Cardinal Equiv Order Ordinal
open scoped Classical
universe u v w
namespace Cardinal
section UsingOrdinals
theorem ord_isLimit {c} (co : ℵ₀ ≤ c) : (ord c).IsLimit := by
refine ⟨fun h => aleph0_ne_zero ?_, fun a => lt_imp_lt_of_le_imp_le fun h => ?_⟩
· rw [← Ordinal.le_zero, ord_le] at h
simpa only [card_zero, nonpos_iff_eq_zero] using co.trans h
· rw [ord_le] at h ⊢
rwa [← @add_one_of_aleph0_le (card a), ← card_succ]
rw [← ord_le, ← le_succ_of_isLimit, ord_le]
· exact co.trans h
· rw [ord_aleph0]
exact omega_isLimit
#align cardinal.ord_is_limit Cardinal.ord_isLimit
theorem noMaxOrder {c} (h : ℵ₀ ≤ c) : NoMaxOrder c.ord.out.α :=
Ordinal.out_no_max_of_succ_lt (ord_isLimit h).2
section aleph
def alephIdx.initialSeg : @InitialSeg Cardinal Ordinal (· < ·) (· < ·) :=
@RelEmbedding.collapse Cardinal Ordinal (· < ·) (· < ·) _ Cardinal.ord.orderEmbedding.ltEmbedding
#align cardinal.aleph_idx.initial_seg Cardinal.alephIdx.initialSeg
def alephIdx : Cardinal → Ordinal :=
alephIdx.initialSeg
#align cardinal.aleph_idx Cardinal.alephIdx
@[simp]
theorem alephIdx.initialSeg_coe : (alephIdx.initialSeg : Cardinal → Ordinal) = alephIdx :=
rfl
#align cardinal.aleph_idx.initial_seg_coe Cardinal.alephIdx.initialSeg_coe
@[simp]
theorem alephIdx_lt {a b} : alephIdx a < alephIdx b ↔ a < b :=
alephIdx.initialSeg.toRelEmbedding.map_rel_iff
#align cardinal.aleph_idx_lt Cardinal.alephIdx_lt
@[simp]
theorem alephIdx_le {a b} : alephIdx a ≤ alephIdx b ↔ a ≤ b := by
rw [← not_lt, ← not_lt, alephIdx_lt]
#align cardinal.aleph_idx_le Cardinal.alephIdx_le
theorem alephIdx.init {a b} : b < alephIdx a → ∃ c, alephIdx c = b :=
alephIdx.initialSeg.init
#align cardinal.aleph_idx.init Cardinal.alephIdx.init
def alephIdx.relIso : @RelIso Cardinal.{u} Ordinal.{u} (· < ·) (· < ·) :=
@RelIso.ofSurjective Cardinal.{u} Ordinal.{u} (· < ·) (· < ·) alephIdx.initialSeg.{u} <|
(InitialSeg.eq_or_principal alephIdx.initialSeg.{u}).resolve_right fun ⟨o, e⟩ => by
have : ∀ c, alephIdx c < o := fun c => (e _).2 ⟨_, rfl⟩
refine Ordinal.inductionOn o ?_ this; intro α r _ h
let s := ⨆ a, invFun alephIdx (Ordinal.typein r a)
apply (lt_succ s).not_le
have I : Injective.{u+2, u+2} alephIdx := alephIdx.initialSeg.toEmbedding.injective
simpa only [typein_enum, leftInverse_invFun I (succ s)] using
le_ciSup
(Cardinal.bddAbove_range.{u, u} fun a : α => invFun alephIdx (Ordinal.typein r a))
(Ordinal.enum r _ (h (succ s)))
#align cardinal.aleph_idx.rel_iso Cardinal.alephIdx.relIso
@[simp]
theorem alephIdx.relIso_coe : (alephIdx.relIso : Cardinal → Ordinal) = alephIdx :=
rfl
#align cardinal.aleph_idx.rel_iso_coe Cardinal.alephIdx.relIso_coe
@[simp]
theorem type_cardinal : @type Cardinal (· < ·) _ = Ordinal.univ.{u, u + 1} := by
rw [Ordinal.univ_id]; exact Quotient.sound ⟨alephIdx.relIso⟩
#align cardinal.type_cardinal Cardinal.type_cardinal
@[simp]
theorem mk_cardinal : #Cardinal = univ.{u, u + 1} := by
simpa only [card_type, card_univ] using congr_arg card type_cardinal
#align cardinal.mk_cardinal Cardinal.mk_cardinal
def Aleph'.relIso :=
Cardinal.alephIdx.relIso.symm
#align cardinal.aleph'.rel_iso Cardinal.Aleph'.relIso
def aleph' : Ordinal → Cardinal :=
Aleph'.relIso
#align cardinal.aleph' Cardinal.aleph'
@[simp]
theorem aleph'.relIso_coe : (Aleph'.relIso : Ordinal → Cardinal) = aleph' :=
rfl
#align cardinal.aleph'.rel_iso_coe Cardinal.aleph'.relIso_coe
@[simp]
theorem aleph'_lt {o₁ o₂ : Ordinal} : aleph' o₁ < aleph' o₂ ↔ o₁ < o₂ :=
Aleph'.relIso.map_rel_iff
#align cardinal.aleph'_lt Cardinal.aleph'_lt
@[simp]
theorem aleph'_le {o₁ o₂ : Ordinal} : aleph' o₁ ≤ aleph' o₂ ↔ o₁ ≤ o₂ :=
le_iff_le_iff_lt_iff_lt.2 aleph'_lt
#align cardinal.aleph'_le Cardinal.aleph'_le
@[simp]
theorem aleph'_alephIdx (c : Cardinal) : aleph' c.alephIdx = c :=
Cardinal.alephIdx.relIso.toEquiv.symm_apply_apply c
#align cardinal.aleph'_aleph_idx Cardinal.aleph'_alephIdx
@[simp]
theorem alephIdx_aleph' (o : Ordinal) : (aleph' o).alephIdx = o :=
Cardinal.alephIdx.relIso.toEquiv.apply_symm_apply o
#align cardinal.aleph_idx_aleph' Cardinal.alephIdx_aleph'
@[simp]
theorem aleph'_zero : aleph' 0 = 0 := by
rw [← nonpos_iff_eq_zero, ← aleph'_alephIdx 0, aleph'_le]
apply Ordinal.zero_le
#align cardinal.aleph'_zero Cardinal.aleph'_zero
@[simp]
theorem aleph'_succ {o : Ordinal} : aleph' (succ o) = succ (aleph' o) := by
apply (succ_le_of_lt <| aleph'_lt.2 <| lt_succ o).antisymm' (Cardinal.alephIdx_le.1 <| _)
rw [alephIdx_aleph', succ_le_iff, ← aleph'_lt, aleph'_alephIdx]
apply lt_succ
#align cardinal.aleph'_succ Cardinal.aleph'_succ
@[simp]
theorem aleph'_nat : ∀ n : ℕ, aleph' n = n
| 0 => aleph'_zero
| n + 1 => show aleph' (succ n) = n.succ by rw [aleph'_succ, aleph'_nat n, nat_succ]
#align cardinal.aleph'_nat Cardinal.aleph'_nat
theorem aleph'_le_of_limit {o : Ordinal} (l : o.IsLimit) {c} :
aleph' o ≤ c ↔ ∀ o' < o, aleph' o' ≤ c :=
⟨fun h o' h' => (aleph'_le.2 <| h'.le).trans h, fun h => by
rw [← aleph'_alephIdx c, aleph'_le, limit_le l]
intro x h'
rw [← aleph'_le, aleph'_alephIdx]
exact h _ h'⟩
#align cardinal.aleph'_le_of_limit Cardinal.aleph'_le_of_limit
| Mathlib/SetTheory/Cardinal/Ordinal.lean | 225 | 228 | theorem aleph'_limit {o : Ordinal} (ho : o.IsLimit) : aleph' o = ⨆ a : Iio o, aleph' a := by |
refine le_antisymm ?_ (ciSup_le' fun i => aleph'_le.2 (le_of_lt i.2))
rw [aleph'_le_of_limit ho]
exact fun a ha => le_ciSup (bddAbove_of_small _) (⟨a, ha⟩ : Iio o)
|
import Mathlib.Init.Order.Defs
#align_import init.algebra.functions from "leanprover-community/lean"@"c2bcdbcbe741ed37c361a30d38e179182b989f76"
universe u
section
open Decidable
variable {α : Type u} [LinearOrder α]
| Mathlib/Init/Order/LinearOrder.lean | 25 | 26 | theorem min_def (a b : α) : min a b = if a ≤ b then a else b := by |
rw [LinearOrder.min_def a]
|
import Mathlib.MeasureTheory.Measure.MeasureSpaceDef
#align_import measure_theory.measure.ae_disjoint from "leanprover-community/mathlib"@"bc7d81beddb3d6c66f71449c5bc76c38cb77cf9e"
open Set Function
namespace MeasureTheory
variable {ι α : Type*} {m : MeasurableSpace α} (μ : Measure α)
def AEDisjoint (s t : Set α) :=
μ (s ∩ t) = 0
#align measure_theory.ae_disjoint MeasureTheory.AEDisjoint
variable {μ} {s t u v : Set α}
theorem exists_null_pairwise_disjoint_diff [Countable ι] {s : ι → Set α}
(hd : Pairwise (AEDisjoint μ on s)) : ∃ t : ι → Set α, (∀ i, MeasurableSet (t i)) ∧
(∀ i, μ (t i) = 0) ∧ Pairwise (Disjoint on fun i => s i \ t i) := by
refine ⟨fun i => toMeasurable μ (s i ∩ ⋃ j ∈ ({i}ᶜ : Set ι), s j), fun i =>
measurableSet_toMeasurable _ _, fun i => ?_, ?_⟩
· simp only [measure_toMeasurable, inter_iUnion]
exact (measure_biUnion_null_iff <| to_countable _).2 fun j hj => hd (Ne.symm hj)
· simp only [Pairwise, disjoint_left, onFun, mem_diff, not_and, and_imp, Classical.not_not]
intro i j hne x hi hU hj
replace hU : x ∉ s i ∩ iUnion fun j ↦ iUnion fun _ ↦ s j :=
fun h ↦ hU (subset_toMeasurable _ _ h)
simp only [mem_inter_iff, mem_iUnion, not_and, not_exists] at hU
exact (hU hi j hne.symm hj).elim
#align measure_theory.exists_null_pairwise_disjoint_diff MeasureTheory.exists_null_pairwise_disjoint_diff
namespace AEDisjoint
protected theorem eq (h : AEDisjoint μ s t) : μ (s ∩ t) = 0 :=
h
#align measure_theory.ae_disjoint.eq MeasureTheory.AEDisjoint.eq
@[symm]
protected theorem symm (h : AEDisjoint μ s t) : AEDisjoint μ t s := by rwa [AEDisjoint, inter_comm]
#align measure_theory.ae_disjoint.symm MeasureTheory.AEDisjoint.symm
protected theorem symmetric : Symmetric (AEDisjoint μ) := fun _ _ => AEDisjoint.symm
#align measure_theory.ae_disjoint.symmetric MeasureTheory.AEDisjoint.symmetric
protected theorem comm : AEDisjoint μ s t ↔ AEDisjoint μ t s :=
⟨AEDisjoint.symm, AEDisjoint.symm⟩
#align measure_theory.ae_disjoint.comm MeasureTheory.AEDisjoint.comm
protected theorem _root_.Disjoint.aedisjoint (h : Disjoint s t) : AEDisjoint μ s t := by
rw [AEDisjoint, disjoint_iff_inter_eq_empty.1 h, measure_empty]
#align disjoint.ae_disjoint Disjoint.aedisjoint
protected theorem _root_.Pairwise.aedisjoint {f : ι → Set α} (hf : Pairwise (Disjoint on f)) :
Pairwise (AEDisjoint μ on f) :=
hf.mono fun _i _j h => h.aedisjoint
#align pairwise.ae_disjoint Pairwise.aedisjoint
protected theorem _root_.Set.PairwiseDisjoint.aedisjoint {f : ι → Set α} {s : Set ι}
(hf : s.PairwiseDisjoint f) : s.Pairwise (AEDisjoint μ on f) :=
hf.mono' fun _i _j h => h.aedisjoint
#align set.pairwise_disjoint.ae_disjoint Set.PairwiseDisjoint.aedisjoint
theorem mono_ae (h : AEDisjoint μ s t) (hu : u ≤ᵐ[μ] s) (hv : v ≤ᵐ[μ] t) : AEDisjoint μ u v :=
measure_mono_null_ae (hu.inter hv) h
#align measure_theory.ae_disjoint.mono_ae MeasureTheory.AEDisjoint.mono_ae
protected theorem mono (h : AEDisjoint μ s t) (hu : u ⊆ s) (hv : v ⊆ t) : AEDisjoint μ u v :=
mono_ae h (HasSubset.Subset.eventuallyLE hu) (HasSubset.Subset.eventuallyLE hv)
#align measure_theory.ae_disjoint.mono MeasureTheory.AEDisjoint.mono
protected theorem congr (h : AEDisjoint μ s t) (hu : u =ᵐ[μ] s) (hv : v =ᵐ[μ] t) :
AEDisjoint μ u v :=
mono_ae h (Filter.EventuallyEq.le hu) (Filter.EventuallyEq.le hv)
#align measure_theory.ae_disjoint.congr MeasureTheory.AEDisjoint.congr
@[simp]
| Mathlib/MeasureTheory/Measure/AEDisjoint.lean | 94 | 96 | theorem iUnion_left_iff [Countable ι] {s : ι → Set α} :
AEDisjoint μ (⋃ i, s i) t ↔ ∀ i, AEDisjoint μ (s i) t := by |
simp only [AEDisjoint, iUnion_inter, measure_iUnion_null_iff]
|
import Mathlib.Algebra.Group.Equiv.Basic
import Mathlib.Data.ENat.Lattice
import Mathlib.Data.Part
import Mathlib.Tactic.NormNum
#align_import data.nat.part_enat from "leanprover-community/mathlib"@"3ff3f2d6a3118b8711063de7111a0d77a53219a8"
open Part hiding some
def PartENat : Type :=
Part ℕ
#align part_enat PartENat
namespace PartENat
@[coe]
def some : ℕ → PartENat :=
Part.some
#align part_enat.some PartENat.some
instance : Zero PartENat :=
⟨some 0⟩
instance : Inhabited PartENat :=
⟨0⟩
instance : One PartENat :=
⟨some 1⟩
instance : Add PartENat :=
⟨fun x y => ⟨x.Dom ∧ y.Dom, fun h => get x h.1 + get y h.2⟩⟩
instance (n : ℕ) : Decidable (some n).Dom :=
isTrue trivial
@[simp]
theorem dom_some (x : ℕ) : (some x).Dom :=
trivial
#align part_enat.dom_some PartENat.dom_some
instance addCommMonoid : AddCommMonoid PartENat where
add := (· + ·)
zero := 0
add_comm x y := Part.ext' and_comm fun _ _ => add_comm _ _
zero_add x := Part.ext' (true_and_iff _) fun _ _ => zero_add _
add_zero x := Part.ext' (and_true_iff _) fun _ _ => add_zero _
add_assoc x y z := Part.ext' and_assoc fun _ _ => add_assoc _ _ _
nsmul := nsmulRec
instance : AddCommMonoidWithOne PartENat :=
{ PartENat.addCommMonoid with
one := 1
natCast := some
natCast_zero := rfl
natCast_succ := fun _ => Part.ext' (true_and_iff _).symm fun _ _ => rfl }
theorem some_eq_natCast (n : ℕ) : some n = n :=
rfl
#align part_enat.some_eq_coe PartENat.some_eq_natCast
instance : CharZero PartENat where
cast_injective := Part.some_injective
theorem natCast_inj {x y : ℕ} : (x : PartENat) = y ↔ x = y :=
Nat.cast_inj
#align part_enat.coe_inj PartENat.natCast_inj
@[simp]
theorem dom_natCast (x : ℕ) : (x : PartENat).Dom :=
trivial
#align part_enat.dom_coe PartENat.dom_natCast
-- See note [no_index around OfNat.ofNat]
@[simp]
theorem dom_ofNat (x : ℕ) [x.AtLeastTwo] : (no_index (OfNat.ofNat x : PartENat)).Dom :=
trivial
@[simp]
theorem dom_zero : (0 : PartENat).Dom :=
trivial
@[simp]
theorem dom_one : (1 : PartENat).Dom :=
trivial
instance : CanLift PartENat ℕ (↑) Dom :=
⟨fun n hn => ⟨n.get hn, Part.some_get _⟩⟩
instance : LE PartENat :=
⟨fun x y => ∃ h : y.Dom → x.Dom, ∀ hy : y.Dom, x.get (h hy) ≤ y.get hy⟩
instance : Top PartENat :=
⟨none⟩
instance : Bot PartENat :=
⟨0⟩
instance : Sup PartENat :=
⟨fun x y => ⟨x.Dom ∧ y.Dom, fun h => x.get h.1 ⊔ y.get h.2⟩⟩
theorem le_def (x y : PartENat) :
x ≤ y ↔ ∃ h : y.Dom → x.Dom, ∀ hy : y.Dom, x.get (h hy) ≤ y.get hy :=
Iff.rfl
#align part_enat.le_def PartENat.le_def
@[elab_as_elim]
protected theorem casesOn' {P : PartENat → Prop} :
∀ a : PartENat, P ⊤ → (∀ n : ℕ, P (some n)) → P a :=
Part.induction_on
#align part_enat.cases_on' PartENat.casesOn'
@[elab_as_elim]
protected theorem casesOn {P : PartENat → Prop} : ∀ a : PartENat, P ⊤ → (∀ n : ℕ, P n) → P a := by
exact PartENat.casesOn'
#align part_enat.cases_on PartENat.casesOn
-- not a simp lemma as we will provide a `LinearOrderedAddCommMonoidWithTop` instance later
theorem top_add (x : PartENat) : ⊤ + x = ⊤ :=
Part.ext' (false_and_iff _) fun h => h.left.elim
#align part_enat.top_add PartENat.top_add
-- not a simp lemma as we will provide a `LinearOrderedAddCommMonoidWithTop` instance later
theorem add_top (x : PartENat) : x + ⊤ = ⊤ := by rw [add_comm, top_add]
#align part_enat.add_top PartENat.add_top
@[simp]
theorem natCast_get {x : PartENat} (h : x.Dom) : (x.get h : PartENat) = x := by
exact Part.ext' (iff_of_true trivial h) fun _ _ => rfl
#align part_enat.coe_get PartENat.natCast_get
@[simp, norm_cast]
theorem get_natCast' (x : ℕ) (h : (x : PartENat).Dom) : get (x : PartENat) h = x := by
rw [← natCast_inj, natCast_get]
#align part_enat.get_coe' PartENat.get_natCast'
theorem get_natCast {x : ℕ} : get (x : PartENat) (dom_natCast x) = x :=
get_natCast' _ _
#align part_enat.get_coe PartENat.get_natCast
theorem coe_add_get {x : ℕ} {y : PartENat} (h : ((x : PartENat) + y).Dom) :
get ((x : PartENat) + y) h = x + get y h.2 := by
rfl
#align part_enat.coe_add_get PartENat.coe_add_get
@[simp]
theorem get_add {x y : PartENat} (h : (x + y).Dom) : get (x + y) h = x.get h.1 + y.get h.2 :=
rfl
#align part_enat.get_add PartENat.get_add
@[simp]
theorem get_zero (h : (0 : PartENat).Dom) : (0 : PartENat).get h = 0 :=
rfl
#align part_enat.get_zero PartENat.get_zero
@[simp]
theorem get_one (h : (1 : PartENat).Dom) : (1 : PartENat).get h = 1 :=
rfl
#align part_enat.get_one PartENat.get_one
-- See note [no_index around OfNat.ofNat]
@[simp]
theorem get_ofNat' (x : ℕ) [x.AtLeastTwo] (h : (no_index (OfNat.ofNat x : PartENat)).Dom) :
Part.get (no_index (OfNat.ofNat x : PartENat)) h = (no_index (OfNat.ofNat x)) :=
get_natCast' x h
nonrec theorem get_eq_iff_eq_some {a : PartENat} {ha : a.Dom} {b : ℕ} : a.get ha = b ↔ a = some b :=
get_eq_iff_eq_some
#align part_enat.get_eq_iff_eq_some PartENat.get_eq_iff_eq_some
theorem get_eq_iff_eq_coe {a : PartENat} {ha : a.Dom} {b : ℕ} : a.get ha = b ↔ a = b := by
rw [get_eq_iff_eq_some]
rfl
#align part_enat.get_eq_iff_eq_coe PartENat.get_eq_iff_eq_coe
theorem dom_of_le_of_dom {x y : PartENat} : x ≤ y → y.Dom → x.Dom := fun ⟨h, _⟩ => h
#align part_enat.dom_of_le_of_dom PartENat.dom_of_le_of_dom
theorem dom_of_le_some {x : PartENat} {y : ℕ} (h : x ≤ some y) : x.Dom :=
dom_of_le_of_dom h trivial
#align part_enat.dom_of_le_some PartENat.dom_of_le_some
theorem dom_of_le_natCast {x : PartENat} {y : ℕ} (h : x ≤ y) : x.Dom := by
exact dom_of_le_some h
#align part_enat.dom_of_le_coe PartENat.dom_of_le_natCast
instance decidableLe (x y : PartENat) [Decidable x.Dom] [Decidable y.Dom] : Decidable (x ≤ y) :=
if hx : x.Dom then
decidable_of_decidable_of_iff (by rw [le_def])
else
if hy : y.Dom then isFalse fun h => hx <| dom_of_le_of_dom h hy
else isTrue ⟨fun h => (hy h).elim, fun h => (hy h).elim⟩
#align part_enat.decidable_le PartENat.decidableLe
-- Porting note: Removed. Use `Nat.castAddMonoidHom` instead.
#noalign part_enat.coe_hom
#noalign part_enat.coe_coe_hom
instance partialOrder : PartialOrder PartENat where
le := (· ≤ ·)
le_refl _ := ⟨id, fun _ => le_rfl⟩
le_trans := fun _ _ _ ⟨hxy₁, hxy₂⟩ ⟨hyz₁, hyz₂⟩ =>
⟨hxy₁ ∘ hyz₁, fun _ => le_trans (hxy₂ _) (hyz₂ _)⟩
lt_iff_le_not_le _ _ := Iff.rfl
le_antisymm := fun _ _ ⟨hxy₁, hxy₂⟩ ⟨hyx₁, hyx₂⟩ =>
Part.ext' ⟨hyx₁, hxy₁⟩ fun _ _ => le_antisymm (hxy₂ _) (hyx₂ _)
theorem lt_def (x y : PartENat) : x < y ↔ ∃ hx : x.Dom, ∀ hy : y.Dom, x.get hx < y.get hy := by
rw [lt_iff_le_not_le, le_def, le_def, not_exists]
constructor
· rintro ⟨⟨hyx, H⟩, h⟩
by_cases hx : x.Dom
· use hx
intro hy
specialize H hy
specialize h fun _ => hy
rw [not_forall] at h
cases' h with hx' h
rw [not_le] at h
exact h
· specialize h fun hx' => (hx hx').elim
rw [not_forall] at h
cases' h with hx' h
exact (hx hx').elim
· rintro ⟨hx, H⟩
exact ⟨⟨fun _ => hx, fun hy => (H hy).le⟩, fun hxy h => not_lt_of_le (h _) (H _)⟩
#align part_enat.lt_def PartENat.lt_def
noncomputable instance orderedAddCommMonoid : OrderedAddCommMonoid PartENat :=
{ PartENat.partialOrder, PartENat.addCommMonoid with
add_le_add_left := fun a b ⟨h₁, h₂⟩ c =>
PartENat.casesOn c (by simp [top_add]) fun c =>
⟨fun h => And.intro (dom_natCast _) (h₁ h.2), fun h => by
simpa only [coe_add_get] using add_le_add_left (h₂ _) c⟩ }
instance semilatticeSup : SemilatticeSup PartENat :=
{ PartENat.partialOrder with
sup := (· ⊔ ·)
le_sup_left := fun _ _ => ⟨And.left, fun _ => le_sup_left⟩
le_sup_right := fun _ _ => ⟨And.right, fun _ => le_sup_right⟩
sup_le := fun _ _ _ ⟨hx₁, hx₂⟩ ⟨hy₁, hy₂⟩ =>
⟨fun hz => ⟨hx₁ hz, hy₁ hz⟩, fun _ => sup_le (hx₂ _) (hy₂ _)⟩ }
#align part_enat.semilattice_sup PartENat.semilatticeSup
instance orderBot : OrderBot PartENat where
bot := ⊥
bot_le _ := ⟨fun _ => trivial, fun _ => Nat.zero_le _⟩
#align part_enat.order_bot PartENat.orderBot
instance orderTop : OrderTop PartENat where
top := ⊤
le_top _ := ⟨fun h => False.elim h, fun hy => False.elim hy⟩
#align part_enat.order_top PartENat.orderTop
instance : ZeroLEOneClass PartENat where
zero_le_one := bot_le
theorem coe_le_coe {x y : ℕ} : (x : PartENat) ≤ y ↔ x ≤ y := Nat.cast_le
#align part_enat.coe_le_coe PartENat.coe_le_coe
theorem coe_lt_coe {x y : ℕ} : (x : PartENat) < y ↔ x < y := Nat.cast_lt
#align part_enat.coe_lt_coe PartENat.coe_lt_coe
@[simp]
theorem get_le_get {x y : PartENat} {hx : x.Dom} {hy : y.Dom} : x.get hx ≤ y.get hy ↔ x ≤ y := by
conv =>
lhs
rw [← coe_le_coe, natCast_get, natCast_get]
#align part_enat.get_le_get PartENat.get_le_get
theorem le_coe_iff (x : PartENat) (n : ℕ) : x ≤ n ↔ ∃ h : x.Dom, x.get h ≤ n := by
show (∃ h : True → x.Dom, _) ↔ ∃ h : x.Dom, x.get h ≤ n
simp only [forall_prop_of_true, dom_natCast, get_natCast']
#align part_enat.le_coe_iff PartENat.le_coe_iff
theorem lt_coe_iff (x : PartENat) (n : ℕ) : x < n ↔ ∃ h : x.Dom, x.get h < n := by
simp only [lt_def, forall_prop_of_true, get_natCast', dom_natCast]
#align part_enat.lt_coe_iff PartENat.lt_coe_iff
theorem coe_le_iff (n : ℕ) (x : PartENat) : (n : PartENat) ≤ x ↔ ∀ h : x.Dom, n ≤ x.get h := by
rw [← some_eq_natCast]
simp only [le_def, exists_prop_of_true, dom_some, forall_true_iff]
rfl
#align part_enat.coe_le_iff PartENat.coe_le_iff
theorem coe_lt_iff (n : ℕ) (x : PartENat) : (n : PartENat) < x ↔ ∀ h : x.Dom, n < x.get h := by
rw [← some_eq_natCast]
simp only [lt_def, exists_prop_of_true, dom_some, forall_true_iff]
rfl
#align part_enat.coe_lt_iff PartENat.coe_lt_iff
nonrec theorem eq_zero_iff {x : PartENat} : x = 0 ↔ x ≤ 0 :=
eq_bot_iff
#align part_enat.eq_zero_iff PartENat.eq_zero_iff
theorem ne_zero_iff {x : PartENat} : x ≠ 0 ↔ ⊥ < x :=
bot_lt_iff_ne_bot.symm
#align part_enat.ne_zero_iff PartENat.ne_zero_iff
theorem dom_of_lt {x y : PartENat} : x < y → x.Dom :=
PartENat.casesOn x not_top_lt fun _ _ => dom_natCast _
#align part_enat.dom_of_lt PartENat.dom_of_lt
theorem top_eq_none : (⊤ : PartENat) = Part.none :=
rfl
#align part_enat.top_eq_none PartENat.top_eq_none
@[simp]
theorem natCast_lt_top (x : ℕ) : (x : PartENat) < ⊤ :=
Ne.lt_top fun h => absurd (congr_arg Dom h) <| by simp only [dom_natCast]; exact true_ne_false
#align part_enat.coe_lt_top PartENat.natCast_lt_top
@[simp]
theorem zero_lt_top : (0 : PartENat) < ⊤ :=
natCast_lt_top 0
@[simp]
theorem one_lt_top : (1 : PartENat) < ⊤ :=
natCast_lt_top 1
-- See note [no_index around OfNat.ofNat]
@[simp]
theorem ofNat_lt_top (x : ℕ) [x.AtLeastTwo] : (no_index (OfNat.ofNat x : PartENat)) < ⊤ :=
natCast_lt_top x
@[simp]
theorem natCast_ne_top (x : ℕ) : (x : PartENat) ≠ ⊤ :=
ne_of_lt (natCast_lt_top x)
#align part_enat.coe_ne_top PartENat.natCast_ne_top
@[simp]
theorem zero_ne_top : (0 : PartENat) ≠ ⊤ :=
natCast_ne_top 0
@[simp]
theorem one_ne_top : (1 : PartENat) ≠ ⊤ :=
natCast_ne_top 1
-- See note [no_index around OfNat.ofNat]
@[simp]
theorem ofNat_ne_top (x : ℕ) [x.AtLeastTwo] : (no_index (OfNat.ofNat x : PartENat)) ≠ ⊤ :=
natCast_ne_top x
theorem not_isMax_natCast (x : ℕ) : ¬IsMax (x : PartENat) :=
not_isMax_of_lt (natCast_lt_top x)
#align part_enat.not_is_max_coe PartENat.not_isMax_natCast
theorem ne_top_iff {x : PartENat} : x ≠ ⊤ ↔ ∃ n : ℕ, x = n := by
simpa only [← some_eq_natCast] using Part.ne_none_iff
#align part_enat.ne_top_iff PartENat.ne_top_iff
theorem ne_top_iff_dom {x : PartENat} : x ≠ ⊤ ↔ x.Dom := by
classical exact not_iff_comm.1 Part.eq_none_iff'.symm
#align part_enat.ne_top_iff_dom PartENat.ne_top_iff_dom
theorem not_dom_iff_eq_top {x : PartENat} : ¬x.Dom ↔ x = ⊤ :=
Iff.not_left ne_top_iff_dom.symm
#align part_enat.not_dom_iff_eq_top PartENat.not_dom_iff_eq_top
theorem ne_top_of_lt {x y : PartENat} (h : x < y) : x ≠ ⊤ :=
ne_of_lt <| lt_of_lt_of_le h le_top
#align part_enat.ne_top_of_lt PartENat.ne_top_of_lt
theorem eq_top_iff_forall_lt (x : PartENat) : x = ⊤ ↔ ∀ n : ℕ, (n : PartENat) < x := by
constructor
· rintro rfl n
exact natCast_lt_top _
· contrapose!
rw [ne_top_iff]
rintro ⟨n, rfl⟩
exact ⟨n, irrefl _⟩
#align part_enat.eq_top_iff_forall_lt PartENat.eq_top_iff_forall_lt
theorem eq_top_iff_forall_le (x : PartENat) : x = ⊤ ↔ ∀ n : ℕ, (n : PartENat) ≤ x :=
(eq_top_iff_forall_lt x).trans
⟨fun h n => (h n).le, fun h n => lt_of_lt_of_le (coe_lt_coe.mpr n.lt_succ_self) (h (n + 1))⟩
#align part_enat.eq_top_iff_forall_le PartENat.eq_top_iff_forall_le
theorem pos_iff_one_le {x : PartENat} : 0 < x ↔ 1 ≤ x :=
PartENat.casesOn x
(by simp only [iff_true_iff, le_top, natCast_lt_top, ← @Nat.cast_zero PartENat])
fun n => by
rw [← Nat.cast_zero, ← Nat.cast_one, PartENat.coe_lt_coe, PartENat.coe_le_coe]
rfl
#align part_enat.pos_iff_one_le PartENat.pos_iff_one_le
instance isTotal : IsTotal PartENat (· ≤ ·) where
total x y :=
PartENat.casesOn (P := fun z => z ≤ y ∨ y ≤ z) x (Or.inr le_top)
(PartENat.casesOn y (fun _ => Or.inl le_top) fun x y =>
(le_total x y).elim (Or.inr ∘ coe_le_coe.2) (Or.inl ∘ coe_le_coe.2))
noncomputable instance linearOrder : LinearOrder PartENat :=
{ PartENat.partialOrder with
le_total := IsTotal.total
decidableLE := Classical.decRel _
max := (· ⊔ ·)
-- Porting note: was `max_def := @sup_eq_maxDefault _ _ (id _) _ }`
max_def := fun a b => by
change (fun a b => a ⊔ b) a b = _
rw [@sup_eq_maxDefault PartENat _ (id _) _]
rfl }
instance boundedOrder : BoundedOrder PartENat :=
{ PartENat.orderTop, PartENat.orderBot with }
noncomputable instance lattice : Lattice PartENat :=
{ PartENat.semilatticeSup with
inf := min
inf_le_left := min_le_left
inf_le_right := min_le_right
le_inf := fun _ _ _ => le_min }
noncomputable instance : CanonicallyOrderedAddCommMonoid PartENat :=
{ PartENat.semilatticeSup, PartENat.orderBot,
PartENat.orderedAddCommMonoid with
le_self_add := fun a b =>
PartENat.casesOn b (le_top.trans_eq (add_top _).symm) fun b =>
PartENat.casesOn a (top_add _).ge fun a =>
(coe_le_coe.2 le_self_add).trans_eq (Nat.cast_add _ _)
exists_add_of_le := fun {a b} =>
PartENat.casesOn b (fun _ => ⟨⊤, (add_top _).symm⟩) fun b =>
PartENat.casesOn a (fun h => ((natCast_lt_top _).not_le h).elim) fun a h =>
⟨(b - a : ℕ), by
rw [← Nat.cast_add, natCast_inj, add_comm, tsub_add_cancel_of_le (coe_le_coe.1 h)]⟩ }
theorem eq_natCast_sub_of_add_eq_natCast {x y : PartENat} {n : ℕ} (h : x + y = n) :
x = ↑(n - y.get (dom_of_le_natCast ((le_add_left le_rfl).trans_eq h))) := by
lift x to ℕ using dom_of_le_natCast ((le_add_right le_rfl).trans_eq h)
lift y to ℕ using dom_of_le_natCast ((le_add_left le_rfl).trans_eq h)
rw [← Nat.cast_add, natCast_inj] at h
rw [get_natCast, natCast_inj, eq_tsub_of_add_eq h]
#align part_enat.eq_coe_sub_of_add_eq_coe PartENat.eq_natCast_sub_of_add_eq_natCast
protected theorem add_lt_add_right {x y z : PartENat} (h : x < y) (hz : z ≠ ⊤) : x + z < y + z := by
rcases ne_top_iff.mp (ne_top_of_lt h) with ⟨m, rfl⟩
rcases ne_top_iff.mp hz with ⟨k, rfl⟩
induction' y using PartENat.casesOn with n
· rw [top_add]
-- Porting note: was apply_mod_cast natCast_lt_top
norm_cast; apply natCast_lt_top
norm_cast at h
-- Porting note: was `apply_mod_cast add_lt_add_right h`
norm_cast; apply add_lt_add_right h
#align part_enat.add_lt_add_right PartENat.add_lt_add_right
protected theorem add_lt_add_iff_right {x y z : PartENat} (hz : z ≠ ⊤) : x + z < y + z ↔ x < y :=
⟨lt_of_add_lt_add_right, fun h => PartENat.add_lt_add_right h hz⟩
#align part_enat.add_lt_add_iff_right PartENat.add_lt_add_iff_right
protected theorem add_lt_add_iff_left {x y z : PartENat} (hz : z ≠ ⊤) : z + x < z + y ↔ x < y := by
rw [add_comm z, add_comm z, PartENat.add_lt_add_iff_right hz]
#align part_enat.add_lt_add_iff_left PartENat.add_lt_add_iff_left
protected theorem lt_add_iff_pos_right {x y : PartENat} (hx : x ≠ ⊤) : x < x + y ↔ 0 < y := by
conv_rhs => rw [← PartENat.add_lt_add_iff_left hx]
rw [add_zero]
#align part_enat.lt_add_iff_pos_right PartENat.lt_add_iff_pos_right
theorem lt_add_one {x : PartENat} (hx : x ≠ ⊤) : x < x + 1 := by
rw [PartENat.lt_add_iff_pos_right hx]
norm_cast
#align part_enat.lt_add_one PartENat.lt_add_one
theorem le_of_lt_add_one {x y : PartENat} (h : x < y + 1) : x ≤ y := by
induction' y using PartENat.casesOn with n
· apply le_top
rcases ne_top_iff.mp (ne_top_of_lt h) with ⟨m, rfl⟩
-- Porting note: was `apply_mod_cast Nat.le_of_lt_succ; apply_mod_cast h`
norm_cast; apply Nat.le_of_lt_succ; norm_cast at h
#align part_enat.le_of_lt_add_one PartENat.le_of_lt_add_one
theorem add_one_le_of_lt {x y : PartENat} (h : x < y) : x + 1 ≤ y := by
induction' y using PartENat.casesOn with n
· apply le_top
rcases ne_top_iff.mp (ne_top_of_lt h) with ⟨m, rfl⟩
-- Porting note: was `apply_mod_cast Nat.succ_le_of_lt; apply_mod_cast h`
norm_cast; apply Nat.succ_le_of_lt; norm_cast at h
#align part_enat.add_one_le_of_lt PartENat.add_one_le_of_lt
theorem add_one_le_iff_lt {x y : PartENat} (hx : x ≠ ⊤) : x + 1 ≤ y ↔ x < y := by
refine ⟨fun h => ?_, add_one_le_of_lt⟩
rcases ne_top_iff.mp hx with ⟨m, rfl⟩
induction' y using PartENat.casesOn with n
· apply natCast_lt_top
-- Porting note: was `apply_mod_cast Nat.lt_of_succ_le; apply_mod_cast h`
norm_cast; apply Nat.lt_of_succ_le; norm_cast at h
#align part_enat.add_one_le_iff_lt PartENat.add_one_le_iff_lt
theorem coe_succ_le_iff {n : ℕ} {e : PartENat} : ↑n.succ ≤ e ↔ ↑n < e := by
rw [Nat.succ_eq_add_one n, Nat.cast_add, Nat.cast_one, add_one_le_iff_lt (natCast_ne_top n)]
#align part_enat.coe_succ_le_succ_iff PartENat.coe_succ_le_iff
theorem lt_add_one_iff_lt {x y : PartENat} (hx : x ≠ ⊤) : x < y + 1 ↔ x ≤ y := by
refine ⟨le_of_lt_add_one, fun h => ?_⟩
rcases ne_top_iff.mp hx with ⟨m, rfl⟩
induction' y using PartENat.casesOn with n
· rw [top_add]
apply natCast_lt_top
-- Porting note: was `apply_mod_cast Nat.lt_succ_of_le; apply_mod_cast h`
norm_cast; apply Nat.lt_succ_of_le; norm_cast at h
#align part_enat.lt_add_one_iff_lt PartENat.lt_add_one_iff_lt
lemma lt_coe_succ_iff_le {x : PartENat} {n : ℕ} (hx : x ≠ ⊤) : x < n.succ ↔ x ≤ n := by
rw [Nat.succ_eq_add_one n, Nat.cast_add, Nat.cast_one, lt_add_one_iff_lt hx]
#align part_enat.lt_coe_succ_iff_le PartENat.lt_coe_succ_iff_le
theorem add_eq_top_iff {a b : PartENat} : a + b = ⊤ ↔ a = ⊤ ∨ b = ⊤ := by
refine PartENat.casesOn a ?_ ?_
<;> refine PartENat.casesOn b ?_ ?_
<;> simp [top_add, add_top]
simp only [← Nat.cast_add, PartENat.natCast_ne_top, forall_const, not_false_eq_true]
#align part_enat.add_eq_top_iff PartENat.add_eq_top_iff
protected theorem add_right_cancel_iff {a b c : PartENat} (hc : c ≠ ⊤) : a + c = b + c ↔ a = b := by
rcases ne_top_iff.1 hc with ⟨c, rfl⟩
refine PartENat.casesOn a ?_ ?_
<;> refine PartENat.casesOn b ?_ ?_
<;> simp [add_eq_top_iff, natCast_ne_top, @eq_comm _ (⊤ : PartENat), top_add]
simp only [← Nat.cast_add, add_left_cancel_iff, PartENat.natCast_inj, add_comm, forall_const]
#align part_enat.add_right_cancel_iff PartENat.add_right_cancel_iff
protected theorem add_left_cancel_iff {a b c : PartENat} (ha : a ≠ ⊤) : a + b = a + c ↔ b = c := by
rw [add_comm a, add_comm a, PartENat.add_right_cancel_iff ha]
#align part_enat.add_left_cancel_iff PartENat.add_left_cancel_iff
section WithTop
def toWithTop (x : PartENat) [Decidable x.Dom] : ℕ∞ :=
x.toOption
#align part_enat.to_with_top PartENat.toWithTop
theorem toWithTop_top :
have : Decidable (⊤ : PartENat).Dom := Part.noneDecidable
toWithTop ⊤ = ⊤ :=
rfl
#align part_enat.to_with_top_top PartENat.toWithTop_top
@[simp]
theorem toWithTop_top' {h : Decidable (⊤ : PartENat).Dom} : toWithTop ⊤ = ⊤ := by
convert toWithTop_top
#align part_enat.to_with_top_top' PartENat.toWithTop_top'
theorem toWithTop_zero :
have : Decidable (0 : PartENat).Dom := someDecidable 0
toWithTop 0 = 0 :=
rfl
#align part_enat.to_with_top_zero PartENat.toWithTop_zero
@[simp]
theorem toWithTop_zero' {h : Decidable (0 : PartENat).Dom} : toWithTop 0 = 0 := by
convert toWithTop_zero
#align part_enat.to_with_top_zero' PartENat.toWithTop_zero'
theorem toWithTop_one :
have : Decidable (1 : PartENat).Dom := someDecidable 1
toWithTop 1 = 1 :=
rfl
@[simp]
theorem toWithTop_one' {h : Decidable (1 : PartENat).Dom} : toWithTop 1 = 1 := by
convert toWithTop_one
theorem toWithTop_some (n : ℕ) : toWithTop (some n) = n :=
rfl
#align part_enat.to_with_top_some PartENat.toWithTop_some
theorem toWithTop_natCast (n : ℕ) {_ : Decidable (n : PartENat).Dom} : toWithTop n = n := by
simp only [← toWithTop_some]
congr
#align part_enat.to_with_top_coe PartENat.toWithTop_natCast
@[simp]
theorem toWithTop_natCast' (n : ℕ) {_ : Decidable (n : PartENat).Dom} :
toWithTop (n : PartENat) = n := by
rw [toWithTop_natCast n]
#align part_enat.to_with_top_coe' PartENat.toWithTop_natCast'
@[simp]
theorem toWithTop_ofNat (n : ℕ) [n.AtLeastTwo] {_ : Decidable (OfNat.ofNat n : PartENat).Dom} :
toWithTop (no_index (OfNat.ofNat n : PartENat)) = OfNat.ofNat n := toWithTop_natCast' n
-- Porting note: statement changed. Mathlib 3 statement was
-- ```
-- @[simp] lemma to_with_top_le {x y : part_enat} :
-- Π [decidable x.dom] [decidable y.dom], by exactI to_with_top x ≤ to_with_top y ↔ x ≤ y :=
-- ```
-- This used to be really slow to typecheck when the definition of `ENat`
-- was still `deriving AddCommMonoidWithOne`. Now that I removed that it is fine.
-- (The problem was that the last `simp` got stuck at `CharZero ℕ∞ ≟ CharZero ℕ∞` where
-- one side used `instENatAddCommMonoidWithOne` and the other used
-- `NonAssocSemiring.toAddCommMonoidWithOne`. Now the former doesn't exist anymore.)
@[simp]
| Mathlib/Data/Nat/PartENat.lean | 648 | 654 | theorem toWithTop_le {x y : PartENat} [hx : Decidable x.Dom] [hy : Decidable y.Dom] :
toWithTop x ≤ toWithTop y ↔ x ≤ y := by |
induction y using PartENat.casesOn generalizing hy
· simp
induction x using PartENat.casesOn generalizing hx
· simp
· simp -- Porting note: this takes too long.
|
import Mathlib.Analysis.NormedSpace.PiTensorProduct.ProjectiveSeminorm
import Mathlib.LinearAlgebra.Isomorphisms
universe uι u𝕜 uE uF
variable {ι : Type uι} [Fintype ι]
variable {𝕜 : Type u𝕜} [NontriviallyNormedField 𝕜]
variable {E : ι → Type uE} [∀ i, SeminormedAddCommGroup (E i)] [∀ i, NormedSpace 𝕜 (E i)]
variable {F : Type uF} [SeminormedAddCommGroup F] [NormedSpace 𝕜 F]
open scoped TensorProduct
namespace PiTensorProduct
section seminorm
variable (F) in
@[simps!]
noncomputable def toDualContinuousMultilinearMap : (⨂[𝕜] i, E i) →ₗ[𝕜]
ContinuousMultilinearMap 𝕜 E F →L[𝕜] F where
toFun x := LinearMap.mkContinuous
((LinearMap.flip (lift (R := 𝕜) (s := E) (E := F)).toLinearMap x) ∘ₗ
ContinuousMultilinearMap.toMultilinearMapLinear)
(projectiveSeminorm x)
(fun _ ↦ by simp only [LinearMap.coe_comp, Function.comp_apply,
ContinuousMultilinearMap.toMultilinearMapLinear_apply, LinearMap.flip_apply,
LinearEquiv.coe_coe]
exact norm_eval_le_projectiveSeminorm _ _ _)
map_add' x y := by
ext _
simp only [map_add, LinearMap.mkContinuous_apply, LinearMap.coe_comp, Function.comp_apply,
ContinuousMultilinearMap.toMultilinearMapLinear_apply, LinearMap.add_apply,
LinearMap.flip_apply, LinearEquiv.coe_coe, ContinuousLinearMap.add_apply]
map_smul' a x := by
ext _
simp only [map_smul, LinearMap.mkContinuous_apply, LinearMap.coe_comp, Function.comp_apply,
ContinuousMultilinearMap.toMultilinearMapLinear_apply, LinearMap.smul_apply,
LinearMap.flip_apply, LinearEquiv.coe_coe, RingHom.id_apply, ContinuousLinearMap.coe_smul',
Pi.smul_apply]
| Mathlib/Analysis/NormedSpace/PiTensorProduct/InjectiveSeminorm.lean | 116 | 119 | theorem toDualContinuousMultilinearMap_le_projectiveSeminorm (x : ⨂[𝕜] i, E i) :
‖toDualContinuousMultilinearMap F x‖ ≤ projectiveSeminorm x := by |
simp only [toDualContinuousMultilinearMap, LinearMap.coe_mk, AddHom.coe_mk]
apply LinearMap.mkContinuous_norm_le _ (apply_nonneg _ _)
|
import Mathlib.MeasureTheory.MeasurableSpace.Basic
import Mathlib.Data.Set.MemPartition
import Mathlib.Order.Filter.CountableSeparatingOn
open Set MeasureTheory
namespace MeasurableSpace
variable {α β : Type*}
class CountablyGenerated (α : Type*) [m : MeasurableSpace α] : Prop where
isCountablyGenerated : ∃ b : Set (Set α), b.Countable ∧ m = generateFrom b
#align measurable_space.countably_generated MeasurableSpace.CountablyGenerated
def countableGeneratingSet (α : Type*) [MeasurableSpace α] [h : CountablyGenerated α] :
Set (Set α) :=
insert ∅ h.isCountablyGenerated.choose
lemma countable_countableGeneratingSet [MeasurableSpace α] [h : CountablyGenerated α] :
Set.Countable (countableGeneratingSet α) :=
Countable.insert _ h.isCountablyGenerated.choose_spec.1
lemma generateFrom_countableGeneratingSet [m : MeasurableSpace α] [h : CountablyGenerated α] :
generateFrom (countableGeneratingSet α) = m :=
(generateFrom_insert_empty _).trans <| h.isCountablyGenerated.choose_spec.2.symm
lemma empty_mem_countableGeneratingSet [MeasurableSpace α] [CountablyGenerated α] :
∅ ∈ countableGeneratingSet α := mem_insert _ _
lemma nonempty_countableGeneratingSet [MeasurableSpace α] [CountablyGenerated α] :
Set.Nonempty (countableGeneratingSet α) :=
⟨∅, mem_insert _ _⟩
lemma measurableSet_countableGeneratingSet [MeasurableSpace α] [CountablyGenerated α]
{s : Set α} (hs : s ∈ countableGeneratingSet α) :
MeasurableSet s := by
rw [← generateFrom_countableGeneratingSet (α := α)]
exact measurableSet_generateFrom hs
def natGeneratingSequence (α : Type*) [MeasurableSpace α] [CountablyGenerated α] : ℕ → (Set α) :=
enumerateCountable (countable_countableGeneratingSet (α := α)) ∅
lemma generateFrom_natGeneratingSequence (α : Type*) [m : MeasurableSpace α]
[CountablyGenerated α] : generateFrom (range (natGeneratingSequence _)) = m := by
rw [natGeneratingSequence, range_enumerateCountable_of_mem _ empty_mem_countableGeneratingSet,
generateFrom_countableGeneratingSet]
lemma measurableSet_natGeneratingSequence [MeasurableSpace α] [CountablyGenerated α] (n : ℕ) :
MeasurableSet (natGeneratingSequence α n) :=
measurableSet_countableGeneratingSet $ Set.enumerateCountable_mem _
empty_mem_countableGeneratingSet n
theorem CountablyGenerated.comap [m : MeasurableSpace β] [h : CountablyGenerated β] (f : α → β) :
@CountablyGenerated α (.comap f m) := by
rcases h with ⟨⟨b, hbc, rfl⟩⟩
rw [comap_generateFrom]
letI := generateFrom (preimage f '' b)
exact ⟨_, hbc.image _, rfl⟩
theorem CountablyGenerated.sup {m₁ m₂ : MeasurableSpace β} (h₁ : @CountablyGenerated β m₁)
(h₂ : @CountablyGenerated β m₂) : @CountablyGenerated β (m₁ ⊔ m₂) := by
rcases h₁ with ⟨⟨b₁, hb₁c, rfl⟩⟩
rcases h₂ with ⟨⟨b₂, hb₂c, rfl⟩⟩
exact @mk _ (_ ⊔ _) ⟨_, hb₁c.union hb₂c, generateFrom_sup_generateFrom⟩
instance (priority := 100) [MeasurableSpace α] [Countable α] : CountablyGenerated α where
isCountablyGenerated := by
refine ⟨⋃ y, {measurableAtom y}, countable_iUnion (fun i ↦ countable_singleton _), ?_⟩
refine le_antisymm ?_ (generateFrom_le (by simp [MeasurableSet.measurableAtom_of_countable]))
intro s hs
have : s = ⋃ y ∈ s, measurableAtom y := by
apply Subset.antisymm
· intro x hx
simpa using ⟨x, hx, by simp⟩
· simp only [iUnion_subset_iff]
intro x hx
exact measurableAtom_subset hs hx
rw [this]
apply MeasurableSet.biUnion (to_countable s) (fun x _hx ↦ ?_)
apply measurableSet_generateFrom
simp
instance [MeasurableSpace α] [CountablyGenerated α] {p : α → Prop} :
CountablyGenerated { x // p x } := .comap _
instance [MeasurableSpace α] [CountablyGenerated α] [MeasurableSpace β] [CountablyGenerated β] :
CountablyGenerated (α × β) :=
.sup (.comap Prod.fst) (.comap Prod.snd)
section SeparatesPoints
class SeparatesPoints (α : Type*) [m : MeasurableSpace α] : Prop where
separates : ∀ x y : α, (∀ s, MeasurableSet s → (x ∈ s → y ∈ s)) → x = y
theorem separatesPoints_def [MeasurableSpace α] [hs : SeparatesPoints α] {x y : α}
(h : ∀ s, MeasurableSet s → (x ∈ s → y ∈ s)) : x = y := hs.separates _ _ h
theorem exists_measurableSet_of_ne [MeasurableSpace α] [SeparatesPoints α] {x y : α}
(h : x ≠ y) : ∃ s, MeasurableSet s ∧ x ∈ s ∧ y ∉ s := by
contrapose! h
exact separatesPoints_def h
theorem separatesPoints_iff [MeasurableSpace α] : SeparatesPoints α ↔
∀ x y : α, (∀ s, MeasurableSet s → (x ∈ s ↔ y ∈ s)) → x = y :=
⟨fun h ↦ fun _ _ hxy ↦ h.separates _ _ fun _ hs xs ↦ (hxy _ hs).mp xs,
fun h ↦ ⟨fun _ _ hxy ↦ h _ _ fun _ hs ↦
⟨fun xs ↦ hxy _ hs xs, not_imp_not.mp fun xs ↦ hxy _ hs.compl xs⟩⟩⟩
theorem separating_of_generateFrom (S : Set (Set α))
[h : @SeparatesPoints α (generateFrom S)] :
∀ x y : α, (∀ s ∈ S, x ∈ s ↔ y ∈ s) → x = y := by
letI := generateFrom S
intros x y hxy
rw [← forall_generateFrom_mem_iff_mem_iff] at hxy
exact separatesPoints_def $ fun _ hs ↦ (hxy _ hs).mp
theorem SeparatesPoints.mono {m m' : MeasurableSpace α} [hsep : @SeparatesPoints _ m] (h : m ≤ m') :
@SeparatesPoints _ m' := @SeparatesPoints.mk _ m' fun _ _ hxy ↦
@SeparatesPoints.separates _ m hsep _ _ fun _ hs ↦ hxy _ (h _ hs)
class CountablySeparated (α : Type*) [MeasurableSpace α] : Prop where
countably_separated : HasCountableSeparatingOn α MeasurableSet univ
instance countablySeparated_of_hasCountableSeparatingOn [MeasurableSpace α]
[h : HasCountableSeparatingOn α MeasurableSet univ] : CountablySeparated α := ⟨h⟩
instance hasCountableSeparatingOn_of_countablySeparated [MeasurableSpace α]
[h : CountablySeparated α] : HasCountableSeparatingOn α MeasurableSet univ :=
h.countably_separated
theorem countablySeparated_def [MeasurableSpace α] :
CountablySeparated α ↔ HasCountableSeparatingOn α MeasurableSet univ :=
⟨fun h ↦ h.countably_separated, fun h ↦ ⟨h⟩⟩
theorem CountablySeparated.mono {m m' : MeasurableSpace α} [hsep : @CountablySeparated _ m]
(h : m ≤ m') : @CountablySeparated _ m' := by
simp_rw [countablySeparated_def] at *
rcases hsep with ⟨S, Sct, Smeas, hS⟩
use S, Sct, (fun s hs ↦ h _ <| Smeas _ hs), hS
theorem CountablySeparated.subtype_iff [MeasurableSpace α] {s : Set α} :
CountablySeparated s ↔ HasCountableSeparatingOn α MeasurableSet s := by
rw [countablySeparated_def]
exact HasCountableSeparatingOn.subtype_iff
instance (priority := 100) Subtype.separatesPoints [MeasurableSpace α] [h : SeparatesPoints α]
{s : Set α} : SeparatesPoints s :=
⟨fun _ _ hxy ↦ Subtype.val_injective $ h.1 _ _ fun _ ht ↦ hxy _ $ measurable_subtype_coe ht⟩
instance (priority := 100) Subtype.countablySeparated [MeasurableSpace α]
[h : CountablySeparated α] {s : Set α} : CountablySeparated s := by
rw [CountablySeparated.subtype_iff]
exact h.countably_separated.mono (fun s ↦ id) $ subset_univ _
instance (priority := 100) separatesPoints_of_measurableSingletonClass [MeasurableSpace α]
[MeasurableSingletonClass α] : SeparatesPoints α := by
refine ⟨fun x y h ↦ ?_⟩
specialize h _ (MeasurableSet.singleton x)
simp_rw [mem_singleton_iff, forall_true_left] at h
exact h.symm
instance hasCountableSeparatingOn_of_countablySeparated_subtype
[MeasurableSpace α] {s : Set α} [h : CountablySeparated s] :
HasCountableSeparatingOn _ MeasurableSet s := CountablySeparated.subtype_iff.mp h
instance countablySeparated_subtype_of_hasCountableSeparatingOn
[MeasurableSpace α] {s : Set α} [h : HasCountableSeparatingOn _ MeasurableSet s] :
CountablySeparated s := CountablySeparated.subtype_iff.mpr h
instance countablySeparated_of_separatesPoints [MeasurableSpace α]
[h : CountablyGenerated α] [SeparatesPoints α] : CountablySeparated α := by
rcases h with ⟨b, hbc, hb⟩
refine ⟨⟨b, hbc, fun t ht ↦ hb.symm ▸ .basic t ht, ?_⟩⟩
rw [hb] at ‹SeparatesPoints _›
convert separating_of_generateFrom b
simp
variable (α)
theorem exists_countablyGenerated_le_of_countablySeparated [m : MeasurableSpace α]
[h : CountablySeparated α] :
∃ m' : MeasurableSpace α, @CountablyGenerated _ m' ∧ @SeparatesPoints _ m' ∧ m' ≤ m := by
rcases h with ⟨b, bct, hbm, hb⟩
refine ⟨generateFrom b, ?_, ?_, generateFrom_le hbm⟩
· use b
rw [@separatesPoints_iff]
exact fun x y hxy ↦ hb _ trivial _ trivial fun _ hs ↦ hxy _ $ measurableSet_generateFrom hs
open scoped Classical
open Function
noncomputable
def mapNatBool [MeasurableSpace α] [CountablyGenerated α] (x : α) (n : ℕ) :
Bool := x ∈ natGeneratingSequence α n
theorem measurable_mapNatBool [MeasurableSpace α] [CountablyGenerated α] :
Measurable (mapNatBool α) := by
rw [measurable_pi_iff]
refine fun n ↦ measurable_to_bool ?_
simp only [preimage, mem_singleton_iff, mapNatBool,
Bool.decide_iff, setOf_mem_eq]
apply measurableSet_natGeneratingSequence
theorem injective_mapNatBool [MeasurableSpace α] [CountablyGenerated α]
[SeparatesPoints α] : Injective (mapNatBool α) := by
intro x y hxy
rw [← generateFrom_natGeneratingSequence α] at *
apply separating_of_generateFrom (range (natGeneratingSequence _))
rintro - ⟨n, rfl⟩
rw [← decide_eq_decide]
exact congr_fun hxy n
theorem measurableEquiv_nat_bool_of_countablyGenerated [MeasurableSpace α]
[CountablyGenerated α] [SeparatesPoints α] :
∃ s : Set (ℕ → Bool), Nonempty (α ≃ᵐ s) := by
use range (mapNatBool α), Equiv.ofInjective _ $
injective_mapNatBool _,
Measurable.subtype_mk $ measurable_mapNatBool _
simp_rw [← generateFrom_natGeneratingSequence α]
apply measurable_generateFrom
rintro _ ⟨n, rfl⟩
rw [← Equiv.image_eq_preimage _ _]
refine ⟨{y | y n}, by measurability, ?_⟩
rw [← Equiv.preimage_eq_iff_eq_image]
simp [mapNatBool]
theorem measurable_injection_nat_bool_of_countablySeparated [MeasurableSpace α]
[CountablySeparated α] : ∃ f : α → ℕ → Bool, Measurable f ∧ Injective f := by
rcases exists_countablyGenerated_le_of_countablySeparated α with ⟨m', _, _, m'le⟩
refine ⟨mapNatBool α, ?_, injective_mapNatBool _⟩
exact (measurable_mapNatBool _).mono m'le le_rfl
variable {α}
--TODO: Make this an instance
| Mathlib/MeasureTheory/MeasurableSpace/CountablyGenerated.lean | 298 | 304 | theorem measurableSingletonClass_of_countablySeparated
[MeasurableSpace α] [CountablySeparated α] :
MeasurableSingletonClass α := by |
rcases measurable_injection_nat_bool_of_countablySeparated α with ⟨f, fmeas, finj⟩
refine ⟨fun x ↦ ?_⟩
rw [← finj.preimage_image {x}, image_singleton]
exact fmeas $ MeasurableSet.singleton _
|
import Mathlib.Data.Bool.Basic
import Mathlib.Init.Order.Defs
import Mathlib.Order.Monotone.Basic
import Mathlib.Order.ULift
import Mathlib.Tactic.GCongr.Core
#align_import order.lattice from "leanprover-community/mathlib"@"3ba15165bd6927679be7c22d6091a87337e3cd0c"
@[gcongr_forward] def exactSubsetOfSSubset : Mathlib.Tactic.GCongr.ForwardExt where
eval h goal := do goal.assignIfDefeq (← Lean.Meta.mkAppM ``subset_of_ssubset #[h])
universe u v w
variable {α : Type u} {β : Type v}
#align le_antisymm' le_antisymm
-- TODO: automatic construction of dual definitions / theorems
class SemilatticeSup (α : Type u) extends Sup α, PartialOrder α where
protected le_sup_left : ∀ a b : α, a ≤ a ⊔ b
protected le_sup_right : ∀ a b : α, b ≤ a ⊔ b
protected sup_le : ∀ a b c : α, a ≤ c → b ≤ c → a ⊔ b ≤ c
#align semilattice_sup SemilatticeSup
def SemilatticeSup.mk' {α : Type*} [Sup α] (sup_comm : ∀ a b : α, a ⊔ b = b ⊔ a)
(sup_assoc : ∀ a b c : α, a ⊔ b ⊔ c = a ⊔ (b ⊔ c)) (sup_idem : ∀ a : α, a ⊔ a = a) :
SemilatticeSup α where
sup := (· ⊔ ·)
le a b := a ⊔ b = b
le_refl := sup_idem
le_trans a b c hab hbc := by dsimp; rw [← hbc, ← sup_assoc, hab]
le_antisymm a b hab hba := by rwa [← hba, sup_comm]
le_sup_left a b := by dsimp; rw [← sup_assoc, sup_idem]
le_sup_right a b := by dsimp; rw [sup_comm, sup_assoc, sup_idem]
sup_le a b c hac hbc := by dsimp; rwa [sup_assoc, hbc]
#align semilattice_sup.mk' SemilatticeSup.mk'
instance OrderDual.instSup (α : Type*) [Inf α] : Sup αᵒᵈ :=
⟨((· ⊓ ·) : α → α → α)⟩
instance OrderDual.instInf (α : Type*) [Sup α] : Inf αᵒᵈ :=
⟨((· ⊔ ·) : α → α → α)⟩
section SemilatticeSup
variable [SemilatticeSup α] {a b c d : α}
@[simp]
theorem le_sup_left : a ≤ a ⊔ b :=
SemilatticeSup.le_sup_left a b
#align le_sup_left le_sup_left
#align le_sup_left' le_sup_left
@[deprecated (since := "2024-06-04")] alias le_sup_left' := le_sup_left
@[simp]
theorem le_sup_right : b ≤ a ⊔ b :=
SemilatticeSup.le_sup_right a b
#align le_sup_right le_sup_right
#align le_sup_right' le_sup_right
@[deprecated (since := "2024-06-04")] alias le_sup_right' := le_sup_right
theorem le_sup_of_le_left (h : c ≤ a) : c ≤ a ⊔ b :=
le_trans h le_sup_left
#align le_sup_of_le_left le_sup_of_le_left
theorem le_sup_of_le_right (h : c ≤ b) : c ≤ a ⊔ b :=
le_trans h le_sup_right
#align le_sup_of_le_right le_sup_of_le_right
theorem lt_sup_of_lt_left (h : c < a) : c < a ⊔ b :=
h.trans_le le_sup_left
#align lt_sup_of_lt_left lt_sup_of_lt_left
theorem lt_sup_of_lt_right (h : c < b) : c < a ⊔ b :=
h.trans_le le_sup_right
#align lt_sup_of_lt_right lt_sup_of_lt_right
theorem sup_le : a ≤ c → b ≤ c → a ⊔ b ≤ c :=
SemilatticeSup.sup_le a b c
#align sup_le sup_le
@[simp]
theorem sup_le_iff : a ⊔ b ≤ c ↔ a ≤ c ∧ b ≤ c :=
⟨fun h : a ⊔ b ≤ c => ⟨le_trans le_sup_left h, le_trans le_sup_right h⟩,
fun ⟨h₁, h₂⟩ => sup_le h₁ h₂⟩
#align sup_le_iff sup_le_iff
@[simp]
theorem sup_eq_left : a ⊔ b = a ↔ b ≤ a :=
le_antisymm_iff.trans <| by simp [le_rfl]
#align sup_eq_left sup_eq_left
@[simp]
theorem sup_eq_right : a ⊔ b = b ↔ a ≤ b :=
le_antisymm_iff.trans <| by simp [le_rfl]
#align sup_eq_right sup_eq_right
@[simp]
theorem left_eq_sup : a = a ⊔ b ↔ b ≤ a :=
eq_comm.trans sup_eq_left
#align left_eq_sup left_eq_sup
@[simp]
theorem right_eq_sup : b = a ⊔ b ↔ a ≤ b :=
eq_comm.trans sup_eq_right
#align right_eq_sup right_eq_sup
alias ⟨_, sup_of_le_left⟩ := sup_eq_left
#align sup_of_le_left sup_of_le_left
alias ⟨le_of_sup_eq, sup_of_le_right⟩ := sup_eq_right
#align sup_of_le_right sup_of_le_right
#align le_of_sup_eq le_of_sup_eq
attribute [simp] sup_of_le_left sup_of_le_right
@[simp]
theorem left_lt_sup : a < a ⊔ b ↔ ¬b ≤ a :=
le_sup_left.lt_iff_ne.trans <| not_congr left_eq_sup
#align left_lt_sup left_lt_sup
@[simp]
theorem right_lt_sup : b < a ⊔ b ↔ ¬a ≤ b :=
le_sup_right.lt_iff_ne.trans <| not_congr right_eq_sup
#align right_lt_sup right_lt_sup
theorem left_or_right_lt_sup (h : a ≠ b) : a < a ⊔ b ∨ b < a ⊔ b :=
h.not_le_or_not_le.symm.imp left_lt_sup.2 right_lt_sup.2
#align left_or_right_lt_sup left_or_right_lt_sup
| Mathlib/Order/Lattice.lean | 196 | 201 | theorem le_iff_exists_sup : a ≤ b ↔ ∃ c, b = a ⊔ c := by |
constructor
· intro h
exact ⟨b, (sup_eq_right.mpr h).symm⟩
· rintro ⟨c, rfl : _ = _ ⊔ _⟩
exact le_sup_left
|
import Mathlib.Data.Int.Cast.Lemmas
import Mathlib.Tactic.NormNum.Basic
set_option autoImplicit true
namespace Mathlib
open Lean hiding Rat mkRat
open Meta
namespace Meta.NormNum
open Qq
theorem natPow_zero : Nat.pow a (nat_lit 0) = nat_lit 1 := rfl
theorem natPow_one : Nat.pow a (nat_lit 1) = a := Nat.pow_one _
theorem zero_natPow : Nat.pow (nat_lit 0) (Nat.succ b) = nat_lit 0 := rfl
theorem one_natPow : Nat.pow (nat_lit 1) b = nat_lit 1 := Nat.one_pow _
structure IsNatPowT (p : Prop) (a b c : Nat) : Prop where
run' : p → Nat.pow a b = c
theorem IsNatPowT.run
(p : IsNatPowT (Nat.pow a (nat_lit 1) = a) a b c) : Nat.pow a b = c := p.run' (Nat.pow_one _)
theorem IsNatPowT.trans (h1 : IsNatPowT p a b c) (h2 : IsNatPowT (Nat.pow a b = c) a b' c') :
IsNatPowT p a b' c' := ⟨h2.run' ∘ h1.run'⟩
theorem IsNatPowT.bit0 : IsNatPowT (Nat.pow a b = c) a (nat_lit 2 * b) (Nat.mul c c) :=
⟨fun h1 => by simp [two_mul, pow_add, ← h1]⟩
theorem IsNatPowT.bit1 :
IsNatPowT (Nat.pow a b = c) a (nat_lit 2 * b + nat_lit 1) (Nat.mul c (Nat.mul c a)) :=
⟨fun h1 => by simp [two_mul, pow_add, mul_assoc, ← h1]⟩
partial def evalNatPow (a b : Q(ℕ)) : (c : Q(ℕ)) × Q(Nat.pow $a $b = $c) :=
if b.natLit! = 0 then
haveI : $b =Q 0 := ⟨⟩
⟨q(nat_lit 1), q(natPow_zero)⟩
else if a.natLit! = 0 then
haveI : $a =Q 0 := ⟨⟩
have b' : Q(ℕ) := mkRawNatLit (b.natLit! - 1)
haveI : $b =Q Nat.succ $b' := ⟨⟩
⟨q(nat_lit 0), q(zero_natPow)⟩
else if a.natLit! = 1 then
haveI : $a =Q 1 := ⟨⟩
⟨q(nat_lit 1), q(one_natPow)⟩
else if b.natLit! = 1 then
haveI : $b =Q 1 := ⟨⟩
⟨a, q(natPow_one)⟩
else
let ⟨c, p⟩ := go b.natLit!.log2 a (mkRawNatLit 1) a b _ .rfl
⟨c, q(($p).run)⟩
where
go (depth : Nat) (a b₀ c₀ b : Q(ℕ)) (p : Q(Prop)) (hp : $p =Q (Nat.pow $a $b₀ = $c₀)) :
(c : Q(ℕ)) × Q(IsNatPowT $p $a $b $c) :=
let b' := b.natLit!
if depth ≤ 1 then
let a' := a.natLit!
let c₀' := c₀.natLit!
if b' &&& 1 == 0 then
have c : Q(ℕ) := mkRawNatLit (c₀' * c₀')
haveI : $c =Q Nat.mul $c₀ $c₀ := ⟨⟩
haveI : $b =Q 2 * $b₀ := ⟨⟩
⟨c, q(IsNatPowT.bit0)⟩
else
have c : Q(ℕ) := mkRawNatLit (c₀' * (c₀' * a'))
haveI : $c =Q Nat.mul $c₀ (Nat.mul $c₀ $a) := ⟨⟩
haveI : $b =Q 2 * $b₀ + 1 := ⟨⟩
⟨c, q(IsNatPowT.bit1)⟩
else
let d := depth >>> 1
have hi : Q(ℕ) := mkRawNatLit (b' >>> d)
let ⟨c1, p1⟩ := go (depth - d) a b₀ c₀ hi p (by exact hp)
let ⟨c2, p2⟩ := go d a hi c1 b q(Nat.pow $a $hi = $c1) ⟨⟩
⟨c2, q(($p1).trans $p2)⟩
theorem intPow_ofNat (h1 : Nat.pow a b = c) :
Int.pow (Int.ofNat a) b = Int.ofNat c := by simp [← h1]
theorem intPow_negOfNat_bit0 (h1 : Nat.pow a b' = c')
(hb : nat_lit 2 * b' = b) (hc : c' * c' = c) :
Int.pow (Int.negOfNat a) b = Int.ofNat c := by
rw [← hb, Int.negOfNat_eq, Int.pow_eq, pow_mul, neg_pow_two, ← pow_mul, two_mul, pow_add, ← hc,
← h1]
simp
theorem intPow_negOfNat_bit1 (h1 : Nat.pow a b' = c')
(hb : nat_lit 2 * b' + nat_lit 1 = b) (hc : c' * (c' * a) = c) :
Int.pow (Int.negOfNat a) b = Int.negOfNat c := by
rw [← hb, Int.negOfNat_eq, Int.negOfNat_eq, Int.pow_eq, pow_succ, pow_mul, neg_pow_two, ← pow_mul,
two_mul, pow_add, ← hc, ← h1]
simp [mul_assoc, mul_comm, mul_left_comm]
partial def evalIntPow (za : ℤ) (a : Q(ℤ)) (b : Q(ℕ)) : ℤ × (c : Q(ℤ)) × Q(Int.pow $a $b = $c) :=
have a' : Q(ℕ) := a.appArg!
if 0 ≤ za then
haveI : $a =Q .ofNat $a' := ⟨⟩
let ⟨c, p⟩ := evalNatPow a' b
⟨c.natLit!, q(.ofNat $c), q(intPow_ofNat $p)⟩
else
haveI : $a =Q .negOfNat $a' := ⟨⟩
let b' := b.natLit!
have b₀ : Q(ℕ) := mkRawNatLit (b' >>> 1)
let ⟨c₀, p⟩ := evalNatPow a' b₀
let c' := c₀.natLit!
if b' &&& 1 == 0 then
have c : Q(ℕ) := mkRawNatLit (c' * c')
have pc : Q($c₀ * $c₀ = $c) := (q(Eq.refl $c) : Expr)
have pb : Q(2 * $b₀ = $b) := (q(Eq.refl $b) : Expr)
⟨c.natLit!, q(.ofNat $c), q(intPow_negOfNat_bit0 $p $pb $pc)⟩
else
have c : Q(ℕ) := mkRawNatLit (c' * (c' * a'.natLit!))
have pc : Q($c₀ * ($c₀ * $a') = $c) := (q(Eq.refl $c) : Expr)
have pb : Q(2 * $b₀ + 1 = $b) := (q(Eq.refl $b) : Expr)
⟨-c.natLit!, q(.negOfNat $c), q(intPow_negOfNat_bit1 $p $pb $pc)⟩
-- see note [norm_num lemma function equality]
theorem isNat_pow {α} [Semiring α] : ∀ {f : α → ℕ → α} {a : α} {b a' b' c : ℕ},
f = HPow.hPow → IsNat a a' → IsNat b b' → Nat.pow a' b' = c → IsNat (f a b) c
| _, _, _, _, _, _, rfl, ⟨rfl⟩, ⟨rfl⟩, rfl => ⟨by simp⟩
-- see note [norm_num lemma function equality]
theorem isInt_pow {α} [Ring α] : ∀ {f : α → ℕ → α} {a : α} {b : ℕ} {a' : ℤ} {b' : ℕ} {c : ℤ},
f = HPow.hPow → IsInt a a' → IsNat b b' → Int.pow a' b' = c → IsInt (f a b) c
| _, _, _, _, _, _, rfl, ⟨rfl⟩, ⟨rfl⟩, rfl => ⟨by simp⟩
-- see note [norm_num lemma function equality]
theorem isRat_pow {α} [Ring α] {f : α → ℕ → α} {a : α} {an cn : ℤ} {ad b b' cd : ℕ} :
f = HPow.hPow → IsRat a an ad → IsNat b b' →
Int.pow an b' = cn → Nat.pow ad b' = cd →
IsRat (f a b) cn cd := by
rintro rfl ⟨_, rfl⟩ ⟨rfl⟩ (rfl : an ^ b = _) (rfl : ad ^ b = _)
have := invertiblePow (ad:α) b
rw [← Nat.cast_pow] at this
use this; simp [invOf_pow, Commute.mul_pow]
@[norm_num (_ : α) ^ (_ : ℕ)]
def evalPow : NormNumExt where eval {u α} e := do
let .app (.app (f : Q($α → ℕ → $α)) (a : Q($α))) (b : Q(ℕ)) ← whnfR e | failure
let ⟨nb, pb⟩ ← deriveNat b q(instAddMonoidWithOneNat)
let sα ← inferSemiring α
let ra ← derive a
guard <|← withDefault <| withNewMCtxDepth <| isDefEq f q(HPow.hPow (α := $α))
haveI' : $e =Q $a ^ $b := ⟨⟩
haveI' : $f =Q HPow.hPow := ⟨⟩
let rec
core : Option (Result e) := do
match ra with
| .isBool .. => failure
| .isNat sα na pa =>
assumeInstancesCommute
have ⟨c, r⟩ := evalNatPow na nb
return .isNat sα c q(isNat_pow (f := $f) (.refl $f) $pa $pb $r)
| .isNegNat rα .. =>
assumeInstancesCommute
let ⟨za, na, pa⟩ ← ra.toInt rα
have ⟨zc, c, r⟩ := evalIntPow za na nb
return .isInt rα c zc q(isInt_pow (f := $f) (.refl $f) $pa $pb $r)
| .isRat dα qa na da pa =>
assumeInstancesCommute
have ⟨zc, nc, r1⟩ := evalIntPow qa.num na nb
have ⟨dc, r2⟩ := evalNatPow da nb
let qc := mkRat zc dc.natLit!
return .isRat' dα qc nc dc q(isRat_pow (f := $f) (.refl $f) $pa $pb $r1 $r2)
core
theorem isNat_zpow_pos {α : Type*} [DivisionSemiring α] {a : α} {b : ℤ} {nb ne : ℕ}
(pb : IsNat b nb) (pe' : IsNat (a ^ nb) ne) :
IsNat (a ^ b) ne := by
rwa [pb.out, zpow_natCast]
| Mathlib/Tactic/NormNum/Pow.lean | 201 | 204 | theorem isNat_zpow_neg {α : Type*} [DivisionSemiring α] {a : α} {b : ℤ} {nb ne : ℕ}
(pb : IsInt b (Int.negOfNat nb)) (pe' : IsNat (a ^ nb)⁻¹ ne) :
IsNat (a ^ b) ne := by |
rwa [pb.out, Int.cast_negOfNat, zpow_neg, zpow_natCast]
|
import Mathlib.LinearAlgebra.Basis
import Mathlib.LinearAlgebra.Multilinear.Basic
#align_import linear_algebra.multilinear.basis from "leanprover-community/mathlib"@"ce11c3c2a285bbe6937e26d9792fda4e51f3fe1a"
open MultilinearMap
variable {R : Type*} {ι : Type*} {n : ℕ} {M : Fin n → Type*} {M₂ : Type*} {M₃ : Type*}
variable [CommSemiring R] [AddCommMonoid M₂] [AddCommMonoid M₃] [∀ i, AddCommMonoid (M i)]
variable [∀ i, Module R (M i)] [Module R M₂] [Module R M₃]
| Mathlib/LinearAlgebra/Multilinear/Basis.lean | 32 | 49 | theorem Basis.ext_multilinear_fin {f g : MultilinearMap R M M₂} {ι₁ : Fin n → Type*}
(e : ∀ i, Basis (ι₁ i) R (M i))
(h : ∀ v : ∀ i, ι₁ i, (f fun i => e i (v i)) = g fun i => e i (v i)) : f = g := by |
induction' n with m hm
· ext x
convert h finZeroElim
· apply Function.LeftInverse.injective uncurry_curryLeft
refine Basis.ext (e 0) ?_
intro i
apply hm (Fin.tail e)
intro j
convert h (Fin.cons i j)
iterate 2
rw [curryLeft_apply]
congr 1 with x
refine Fin.cases rfl (fun x => ?_) x
dsimp [Fin.tail]
rw [Fin.cons_succ, Fin.cons_succ]
|
import Mathlib.Algebra.Associated
import Mathlib.Algebra.Star.Unitary
import Mathlib.RingTheory.Int.Basic
import Mathlib.RingTheory.PrincipalIdealDomain
import Mathlib.Tactic.Ring
#align_import number_theory.zsqrtd.basic from "leanprover-community/mathlib"@"e8638a0fcaf73e4500469f368ef9494e495099b3"
@[ext]
structure Zsqrtd (d : ℤ) where
re : ℤ
im : ℤ
deriving DecidableEq
#align zsqrtd Zsqrtd
#align zsqrtd.ext Zsqrtd.ext_iff
prefix:100 "ℤ√" => Zsqrtd
namespace Zsqrtd
section
variable {d : ℤ}
def ofInt (n : ℤ) : ℤ√d :=
⟨n, 0⟩
#align zsqrtd.of_int Zsqrtd.ofInt
theorem ofInt_re (n : ℤ) : (ofInt n : ℤ√d).re = n :=
rfl
#align zsqrtd.of_int_re Zsqrtd.ofInt_re
theorem ofInt_im (n : ℤ) : (ofInt n : ℤ√d).im = 0 :=
rfl
#align zsqrtd.of_int_im Zsqrtd.ofInt_im
instance : Zero (ℤ√d) :=
⟨ofInt 0⟩
@[simp]
theorem zero_re : (0 : ℤ√d).re = 0 :=
rfl
#align zsqrtd.zero_re Zsqrtd.zero_re
@[simp]
theorem zero_im : (0 : ℤ√d).im = 0 :=
rfl
#align zsqrtd.zero_im Zsqrtd.zero_im
instance : Inhabited (ℤ√d) :=
⟨0⟩
instance : One (ℤ√d) :=
⟨ofInt 1⟩
@[simp]
theorem one_re : (1 : ℤ√d).re = 1 :=
rfl
#align zsqrtd.one_re Zsqrtd.one_re
@[simp]
theorem one_im : (1 : ℤ√d).im = 0 :=
rfl
#align zsqrtd.one_im Zsqrtd.one_im
def sqrtd : ℤ√d :=
⟨0, 1⟩
#align zsqrtd.sqrtd Zsqrtd.sqrtd
@[simp]
theorem sqrtd_re : (sqrtd : ℤ√d).re = 0 :=
rfl
#align zsqrtd.sqrtd_re Zsqrtd.sqrtd_re
@[simp]
theorem sqrtd_im : (sqrtd : ℤ√d).im = 1 :=
rfl
#align zsqrtd.sqrtd_im Zsqrtd.sqrtd_im
instance : Add (ℤ√d) :=
⟨fun z w => ⟨z.1 + w.1, z.2 + w.2⟩⟩
@[simp]
theorem add_def (x y x' y' : ℤ) : (⟨x, y⟩ + ⟨x', y'⟩ : ℤ√d) = ⟨x + x', y + y'⟩ :=
rfl
#align zsqrtd.add_def Zsqrtd.add_def
@[simp]
theorem add_re (z w : ℤ√d) : (z + w).re = z.re + w.re :=
rfl
#align zsqrtd.add_re Zsqrtd.add_re
@[simp]
theorem add_im (z w : ℤ√d) : (z + w).im = z.im + w.im :=
rfl
#align zsqrtd.add_im Zsqrtd.add_im
#noalign zsqrtd.bit0_re
#noalign zsqrtd.bit0_im
#noalign zsqrtd.bit1_re
#noalign zsqrtd.bit1_im
instance : Neg (ℤ√d) :=
⟨fun z => ⟨-z.1, -z.2⟩⟩
@[simp]
theorem neg_re (z : ℤ√d) : (-z).re = -z.re :=
rfl
#align zsqrtd.neg_re Zsqrtd.neg_re
@[simp]
theorem neg_im (z : ℤ√d) : (-z).im = -z.im :=
rfl
#align zsqrtd.neg_im Zsqrtd.neg_im
instance : Mul (ℤ√d) :=
⟨fun z w => ⟨z.1 * w.1 + d * z.2 * w.2, z.1 * w.2 + z.2 * w.1⟩⟩
@[simp]
theorem mul_re (z w : ℤ√d) : (z * w).re = z.re * w.re + d * z.im * w.im :=
rfl
#align zsqrtd.mul_re Zsqrtd.mul_re
@[simp]
theorem mul_im (z w : ℤ√d) : (z * w).im = z.re * w.im + z.im * w.re :=
rfl
#align zsqrtd.mul_im Zsqrtd.mul_im
instance addCommGroup : AddCommGroup (ℤ√d) := by
refine
{ add := (· + ·)
zero := (0 : ℤ√d)
sub := fun a b => a + -b
neg := Neg.neg
nsmul := @nsmulRec (ℤ√d) ⟨0⟩ ⟨(· + ·)⟩
zsmul := @zsmulRec (ℤ√d) ⟨0⟩ ⟨(· + ·)⟩ ⟨Neg.neg⟩ (@nsmulRec (ℤ√d) ⟨0⟩ ⟨(· + ·)⟩)
add_assoc := ?_
zero_add := ?_
add_zero := ?_
add_left_neg := ?_
add_comm := ?_ } <;>
intros <;>
ext <;>
simp [add_comm, add_left_comm]
@[simp]
theorem sub_re (z w : ℤ√d) : (z - w).re = z.re - w.re :=
rfl
@[simp]
theorem sub_im (z w : ℤ√d) : (z - w).im = z.im - w.im :=
rfl
instance addGroupWithOne : AddGroupWithOne (ℤ√d) :=
{ Zsqrtd.addCommGroup with
natCast := fun n => ofInt n
intCast := ofInt
one := 1 }
instance commRing : CommRing (ℤ√d) := by
refine
{ Zsqrtd.addGroupWithOne with
mul := (· * ·)
npow := @npowRec (ℤ√d) ⟨1⟩ ⟨(· * ·)⟩,
add_comm := ?_
left_distrib := ?_
right_distrib := ?_
zero_mul := ?_
mul_zero := ?_
mul_assoc := ?_
one_mul := ?_
mul_one := ?_
mul_comm := ?_ } <;>
intros <;>
ext <;>
simp <;>
ring
instance : AddMonoid (ℤ√d) := by infer_instance
instance : Monoid (ℤ√d) := by infer_instance
instance : CommMonoid (ℤ√d) := by infer_instance
instance : CommSemigroup (ℤ√d) := by infer_instance
instance : Semigroup (ℤ√d) := by infer_instance
instance : AddCommSemigroup (ℤ√d) := by infer_instance
instance : AddSemigroup (ℤ√d) := by infer_instance
instance : CommSemiring (ℤ√d) := by infer_instance
instance : Semiring (ℤ√d) := by infer_instance
instance : Ring (ℤ√d) := by infer_instance
instance : Distrib (ℤ√d) := by infer_instance
instance : Star (ℤ√d) where
star z := ⟨z.1, -z.2⟩
@[simp]
theorem star_mk (x y : ℤ) : star (⟨x, y⟩ : ℤ√d) = ⟨x, -y⟩ :=
rfl
#align zsqrtd.star_mk Zsqrtd.star_mk
@[simp]
theorem star_re (z : ℤ√d) : (star z).re = z.re :=
rfl
#align zsqrtd.star_re Zsqrtd.star_re
@[simp]
theorem star_im (z : ℤ√d) : (star z).im = -z.im :=
rfl
#align zsqrtd.star_im Zsqrtd.star_im
instance : StarRing (ℤ√d) where
star_involutive x := Zsqrtd.ext _ _ rfl (neg_neg _)
star_mul a b := by ext <;> simp <;> ring
star_add a b := Zsqrtd.ext _ _ rfl (neg_add _ _)
-- Porting note: proof was `by decide`
instance nontrivial : Nontrivial (ℤ√d) :=
⟨⟨0, 1, (Zsqrtd.ext_iff 0 1).not.mpr (by simp)⟩⟩
@[simp]
theorem natCast_re (n : ℕ) : (n : ℤ√d).re = n :=
rfl
#align zsqrtd.coe_nat_re Zsqrtd.natCast_re
@[simp]
theorem ofNat_re (n : ℕ) [n.AtLeastTwo] : (no_index (OfNat.ofNat n) : ℤ√d).re = n :=
rfl
@[simp]
theorem natCast_im (n : ℕ) : (n : ℤ√d).im = 0 :=
rfl
#align zsqrtd.coe_nat_im Zsqrtd.natCast_im
@[simp]
theorem ofNat_im (n : ℕ) [n.AtLeastTwo] : (no_index (OfNat.ofNat n) : ℤ√d).im = 0 :=
rfl
theorem natCast_val (n : ℕ) : (n : ℤ√d) = ⟨n, 0⟩ :=
rfl
#align zsqrtd.coe_nat_val Zsqrtd.natCast_val
@[simp]
| Mathlib/NumberTheory/Zsqrtd/Basic.lean | 280 | 280 | theorem intCast_re (n : ℤ) : (n : ℤ√d).re = n := by | cases n <;> rfl
|
import Mathlib.Analysis.Complex.Basic
import Mathlib.Topology.FiberBundle.IsHomeomorphicTrivialBundle
#align_import analysis.complex.re_im_topology from "leanprover-community/mathlib"@"468b141b14016d54b479eb7a0fff1e360b7e3cf6"
open Set
noncomputable section
namespace Complex
theorem isHomeomorphicTrivialFiberBundle_re : IsHomeomorphicTrivialFiberBundle ℝ re :=
⟨equivRealProdCLM.toHomeomorph, fun _ => rfl⟩
#align complex.is_homeomorphic_trivial_fiber_bundle_re Complex.isHomeomorphicTrivialFiberBundle_re
theorem isHomeomorphicTrivialFiberBundle_im : IsHomeomorphicTrivialFiberBundle ℝ im :=
⟨equivRealProdCLM.toHomeomorph.trans (Homeomorph.prodComm ℝ ℝ), fun _ => rfl⟩
#align complex.is_homeomorphic_trivial_fiber_bundle_im Complex.isHomeomorphicTrivialFiberBundle_im
theorem isOpenMap_re : IsOpenMap re :=
isHomeomorphicTrivialFiberBundle_re.isOpenMap_proj
#align complex.is_open_map_re Complex.isOpenMap_re
theorem isOpenMap_im : IsOpenMap im :=
isHomeomorphicTrivialFiberBundle_im.isOpenMap_proj
#align complex.is_open_map_im Complex.isOpenMap_im
theorem quotientMap_re : QuotientMap re :=
isHomeomorphicTrivialFiberBundle_re.quotientMap_proj
#align complex.quotient_map_re Complex.quotientMap_re
theorem quotientMap_im : QuotientMap im :=
isHomeomorphicTrivialFiberBundle_im.quotientMap_proj
#align complex.quotient_map_im Complex.quotientMap_im
theorem interior_preimage_re (s : Set ℝ) : interior (re ⁻¹' s) = re ⁻¹' interior s :=
(isOpenMap_re.preimage_interior_eq_interior_preimage continuous_re _).symm
#align complex.interior_preimage_re Complex.interior_preimage_re
theorem interior_preimage_im (s : Set ℝ) : interior (im ⁻¹' s) = im ⁻¹' interior s :=
(isOpenMap_im.preimage_interior_eq_interior_preimage continuous_im _).symm
#align complex.interior_preimage_im Complex.interior_preimage_im
theorem closure_preimage_re (s : Set ℝ) : closure (re ⁻¹' s) = re ⁻¹' closure s :=
(isOpenMap_re.preimage_closure_eq_closure_preimage continuous_re _).symm
#align complex.closure_preimage_re Complex.closure_preimage_re
theorem closure_preimage_im (s : Set ℝ) : closure (im ⁻¹' s) = im ⁻¹' closure s :=
(isOpenMap_im.preimage_closure_eq_closure_preimage continuous_im _).symm
#align complex.closure_preimage_im Complex.closure_preimage_im
theorem frontier_preimage_re (s : Set ℝ) : frontier (re ⁻¹' s) = re ⁻¹' frontier s :=
(isOpenMap_re.preimage_frontier_eq_frontier_preimage continuous_re _).symm
#align complex.frontier_preimage_re Complex.frontier_preimage_re
theorem frontier_preimage_im (s : Set ℝ) : frontier (im ⁻¹' s) = im ⁻¹' frontier s :=
(isOpenMap_im.preimage_frontier_eq_frontier_preimage continuous_im _).symm
#align complex.frontier_preimage_im Complex.frontier_preimage_im
@[simp]
| Mathlib/Analysis/Complex/ReImTopology.lean | 94 | 95 | theorem interior_setOf_re_le (a : ℝ) : interior { z : ℂ | z.re ≤ a } = { z | z.re < a } := by |
simpa only [interior_Iic] using interior_preimage_re (Iic a)
|
import Mathlib.Algebra.Order.Group.Abs
import Mathlib.Algebra.Order.Group.Basic
import Mathlib.Algebra.Order.Group.OrderIso
import Mathlib.Algebra.Order.Ring.Defs
import Mathlib.Data.Int.Cast.Lemmas
import Mathlib.Order.Interval.Set.Basic
import Mathlib.Logic.Pairwise
#align_import data.set.intervals.group from "leanprover-community/mathlib"@"c227d107bbada5d0d9d20287e3282c0a7f1651a0"
variable {α : Type*}
namespace Set
section PairwiseDisjoint
section OrderedCommGroup
variable [OrderedCommGroup α] (a b : α)
@[to_additive]
theorem pairwise_disjoint_Ioc_mul_zpow :
Pairwise (Disjoint on fun n : ℤ => Ioc (a * b ^ n) (a * b ^ (n + 1))) := by
simp (config := { unfoldPartialApp := true }) only [Function.onFun]
simp_rw [Set.disjoint_iff]
intro m n hmn x hx
apply hmn
have hb : 1 < b := by
have : a * b ^ m < a * b ^ (m + 1) := hx.1.1.trans_le hx.1.2
rwa [mul_lt_mul_iff_left, ← mul_one (b ^ m), zpow_add_one, mul_lt_mul_iff_left] at this
have i1 := hx.1.1.trans_le hx.2.2
have i2 := hx.2.1.trans_le hx.1.2
rw [mul_lt_mul_iff_left, zpow_lt_zpow_iff hb, Int.lt_add_one_iff] at i1 i2
exact le_antisymm i1 i2
#align set.pairwise_disjoint_Ioc_mul_zpow Set.pairwise_disjoint_Ioc_mul_zpow
#align set.pairwise_disjoint_Ioc_add_zsmul Set.pairwise_disjoint_Ioc_add_zsmul
@[to_additive]
theorem pairwise_disjoint_Ico_mul_zpow :
Pairwise (Disjoint on fun n : ℤ => Ico (a * b ^ n) (a * b ^ (n + 1))) := by
simp (config := { unfoldPartialApp := true }) only [Function.onFun]
simp_rw [Set.disjoint_iff]
intro m n hmn x hx
apply hmn
have hb : 1 < b := by
have : a * b ^ m < a * b ^ (m + 1) := hx.1.1.trans_lt hx.1.2
rwa [mul_lt_mul_iff_left, ← mul_one (b ^ m), zpow_add_one, mul_lt_mul_iff_left] at this
have i1 := hx.1.1.trans_lt hx.2.2
have i2 := hx.2.1.trans_lt hx.1.2
rw [mul_lt_mul_iff_left, zpow_lt_zpow_iff hb, Int.lt_add_one_iff] at i1 i2
exact le_antisymm i1 i2
#align set.pairwise_disjoint_Ico_mul_zpow Set.pairwise_disjoint_Ico_mul_zpow
#align set.pairwise_disjoint_Ico_add_zsmul Set.pairwise_disjoint_Ico_add_zsmul
@[to_additive]
theorem pairwise_disjoint_Ioo_mul_zpow :
Pairwise (Disjoint on fun n : ℤ => Ioo (a * b ^ n) (a * b ^ (n + 1))) := fun _ _ hmn =>
(pairwise_disjoint_Ioc_mul_zpow a b hmn).mono Ioo_subset_Ioc_self Ioo_subset_Ioc_self
#align set.pairwise_disjoint_Ioo_mul_zpow Set.pairwise_disjoint_Ioo_mul_zpow
#align set.pairwise_disjoint_Ioo_add_zsmul Set.pairwise_disjoint_Ioo_add_zsmul
@[to_additive]
| Mathlib/Algebra/Order/Interval/Set/Group.lean | 212 | 214 | theorem pairwise_disjoint_Ioc_zpow :
Pairwise (Disjoint on fun n : ℤ => Ioc (b ^ n) (b ^ (n + 1))) := by |
simpa only [one_mul] using pairwise_disjoint_Ioc_mul_zpow 1 b
|
import Mathlib.Analysis.SpecialFunctions.ExpDeriv
import Mathlib.Analysis.SpecialFunctions.Complex.Circle
import Mathlib.Analysis.InnerProductSpace.l2Space
import Mathlib.MeasureTheory.Function.ContinuousMapDense
import Mathlib.MeasureTheory.Function.L2Space
import Mathlib.MeasureTheory.Group.Integral
import Mathlib.MeasureTheory.Integral.Periodic
import Mathlib.Topology.ContinuousFunction.StoneWeierstrass
import Mathlib.MeasureTheory.Integral.FundThmCalculus
#align_import analysis.fourier.add_circle from "leanprover-community/mathlib"@"8f9fea08977f7e450770933ee6abb20733b47c92"
noncomputable section
open scoped ENNReal ComplexConjugate Real
open TopologicalSpace ContinuousMap MeasureTheory MeasureTheory.Measure Algebra Submodule Set
variable {T : ℝ}
open AddCircle
section Monomials
def fourier (n : ℤ) : C(AddCircle T, ℂ) where
toFun x := toCircle (n • x :)
continuous_toFun := continuous_induced_dom.comp <| continuous_toCircle.comp <| continuous_zsmul _
#align fourier fourier
@[simp]
theorem fourier_apply {n : ℤ} {x : AddCircle T} : fourier n x = toCircle (n • x :) :=
rfl
#align fourier_apply fourier_apply
-- @[simp] -- Porting note: simp normal form is `fourier_coe_apply'`
theorem fourier_coe_apply {n : ℤ} {x : ℝ} :
fourier n (x : AddCircle T) = Complex.exp (2 * π * Complex.I * n * x / T) := by
rw [fourier_apply, ← QuotientAddGroup.mk_zsmul, toCircle, Function.Periodic.lift_coe,
expMapCircle_apply, Complex.ofReal_mul, Complex.ofReal_div, Complex.ofReal_mul, zsmul_eq_mul,
Complex.ofReal_mul, Complex.ofReal_intCast]
norm_num
congr 1; ring
#align fourier_coe_apply fourier_coe_apply
@[simp]
theorem fourier_coe_apply' {n : ℤ} {x : ℝ} :
toCircle (n • (x : AddCircle T) :) = Complex.exp (2 * π * Complex.I * n * x / T) := by
rw [← fourier_apply]; exact fourier_coe_apply
-- @[simp] -- Porting note: simp normal form is `fourier_zero'`
theorem fourier_zero {x : AddCircle T} : fourier 0 x = 1 := by
induction x using QuotientAddGroup.induction_on'
simp only [fourier_coe_apply]
norm_num
#align fourier_zero fourier_zero
@[simp]
theorem fourier_zero' {x : AddCircle T} : @toCircle T 0 = (1 : ℂ) := by
have : fourier 0 x = @toCircle T 0 := by rw [fourier_apply, zero_smul]
rw [← this]; exact fourier_zero
-- @[simp] -- Porting note: simp normal form is *also* `fourier_zero'`
theorem fourier_eval_zero (n : ℤ) : fourier n (0 : AddCircle T) = 1 := by
rw [← QuotientAddGroup.mk_zero, fourier_coe_apply, Complex.ofReal_zero, mul_zero,
zero_div, Complex.exp_zero]
#align fourier_eval_zero fourier_eval_zero
-- @[simp] -- Porting note (#10618): simp can prove this
theorem fourier_one {x : AddCircle T} : fourier 1 x = toCircle x := by rw [fourier_apply, one_zsmul]
#align fourier_one fourier_one
-- @[simp] -- Porting note: simp normal form is `fourier_neg'`
theorem fourier_neg {n : ℤ} {x : AddCircle T} : fourier (-n) x = conj (fourier n x) := by
induction x using QuotientAddGroup.induction_on'
simp_rw [fourier_apply, toCircle]
rw [← QuotientAddGroup.mk_zsmul, ← QuotientAddGroup.mk_zsmul]
simp_rw [Function.Periodic.lift_coe, ← coe_inv_circle_eq_conj, ← expMapCircle_neg,
neg_smul, mul_neg]
#align fourier_neg fourier_neg
@[simp]
theorem fourier_neg' {n : ℤ} {x : AddCircle T} : @toCircle T (-(n • x)) = conj (fourier n x) := by
rw [← neg_smul, ← fourier_apply]; exact fourier_neg
-- @[simp] -- Porting note: simp normal form is `fourier_add'`
theorem fourier_add {m n : ℤ} {x : AddCircle T} : fourier (m+n) x = fourier m x * fourier n x := by
simp_rw [fourier_apply, add_zsmul, toCircle_add, coe_mul_unitSphere]
#align fourier_add fourier_add
@[simp]
theorem fourier_add' {m n : ℤ} {x : AddCircle T} :
toCircle ((m + n) • x :) = fourier m x * fourier n x := by
rw [← fourier_apply]; exact fourier_add
| Mathlib/Analysis/Fourier/AddCircle.lean | 176 | 180 | theorem fourier_norm [Fact (0 < T)] (n : ℤ) : ‖@fourier T n‖ = 1 := by |
rw [ContinuousMap.norm_eq_iSup_norm]
have : ∀ x : AddCircle T, ‖fourier n x‖ = 1 := fun x => abs_coe_circle _
simp_rw [this]
exact @ciSup_const _ _ _ Zero.instNonempty _
|
import Mathlib.GroupTheory.FreeGroup.Basic
import Mathlib.GroupTheory.QuotientGroup
#align_import group_theory.presented_group from "leanprover-community/mathlib"@"d90e4e186f1d18e375dcd4e5b5f6364b01cb3e46"
variable {α : Type*}
def PresentedGroup (rels : Set (FreeGroup α)) :=
FreeGroup α ⧸ Subgroup.normalClosure rels
#align presented_group PresentedGroup
namespace PresentedGroup
instance (rels : Set (FreeGroup α)) : Group (PresentedGroup rels) :=
QuotientGroup.Quotient.group _
def of {rels : Set (FreeGroup α)} (x : α) : PresentedGroup rels :=
QuotientGroup.mk (FreeGroup.of x)
#align presented_group.of PresentedGroup.of
@[simp]
| Mathlib/GroupTheory/PresentedGroup.lean | 53 | 58 | theorem closure_range_of (rels : Set (FreeGroup α)) :
Subgroup.closure (Set.range (PresentedGroup.of : α → PresentedGroup rels)) = ⊤ := by |
have : (PresentedGroup.of : α → PresentedGroup rels) = QuotientGroup.mk' _ ∘ FreeGroup.of := rfl
rw [this, Set.range_comp, ← MonoidHom.map_closure (QuotientGroup.mk' _),
FreeGroup.closure_range_of, ← MonoidHom.range_eq_map]
exact MonoidHom.range_top_of_surjective _ (QuotientGroup.mk'_surjective _)
|
import Mathlib.Algebra.BigOperators.Fin
import Mathlib.Algebra.Order.BigOperators.Group.Finset
import Mathlib.Data.Finset.Sort
import Mathlib.Data.Set.Subsingleton
#align_import combinatorics.composition from "leanprover-community/mathlib"@"92ca63f0fb391a9ca5f22d2409a6080e786d99f7"
open List
variable {n : ℕ}
@[ext]
structure Composition (n : ℕ) where
blocks : List ℕ
blocks_pos : ∀ {i}, i ∈ blocks → 0 < i
blocks_sum : blocks.sum = n
#align composition Composition
@[ext]
structure CompositionAsSet (n : ℕ) where
boundaries : Finset (Fin n.succ)
zero_mem : (0 : Fin n.succ) ∈ boundaries
getLast_mem : Fin.last n ∈ boundaries
#align composition_as_set CompositionAsSet
instance {n : ℕ} : Inhabited (CompositionAsSet n) :=
⟨⟨Finset.univ, Finset.mem_univ _, Finset.mem_univ _⟩⟩
namespace Composition
variable (c : Composition n)
instance (n : ℕ) : ToString (Composition n) :=
⟨fun c => toString c.blocks⟩
abbrev length : ℕ :=
c.blocks.length
#align composition.length Composition.length
theorem blocks_length : c.blocks.length = c.length :=
rfl
#align composition.blocks_length Composition.blocks_length
def blocksFun : Fin c.length → ℕ := c.blocks.get
#align composition.blocks_fun Composition.blocksFun
theorem ofFn_blocksFun : ofFn c.blocksFun = c.blocks :=
ofFn_get _
#align composition.of_fn_blocks_fun Composition.ofFn_blocksFun
theorem sum_blocksFun : ∑ i, c.blocksFun i = n := by
conv_rhs => rw [← c.blocks_sum, ← ofFn_blocksFun, sum_ofFn]
#align composition.sum_blocks_fun Composition.sum_blocksFun
theorem blocksFun_mem_blocks (i : Fin c.length) : c.blocksFun i ∈ c.blocks :=
get_mem _ _ _
#align composition.blocks_fun_mem_blocks Composition.blocksFun_mem_blocks
@[simp]
theorem one_le_blocks {i : ℕ} (h : i ∈ c.blocks) : 1 ≤ i :=
c.blocks_pos h
#align composition.one_le_blocks Composition.one_le_blocks
@[simp]
theorem one_le_blocks' {i : ℕ} (h : i < c.length) : 1 ≤ c.blocks.get ⟨i, h⟩ :=
c.one_le_blocks (get_mem (blocks c) i h)
#align composition.one_le_blocks' Composition.one_le_blocks'
@[simp]
theorem blocks_pos' (i : ℕ) (h : i < c.length) : 0 < c.blocks.get ⟨i, h⟩ :=
c.one_le_blocks' h
#align composition.blocks_pos' Composition.blocks_pos'
theorem one_le_blocksFun (i : Fin c.length) : 1 ≤ c.blocksFun i :=
c.one_le_blocks (c.blocksFun_mem_blocks i)
#align composition.one_le_blocks_fun Composition.one_le_blocksFun
theorem length_le : c.length ≤ n := by
conv_rhs => rw [← c.blocks_sum]
exact length_le_sum_of_one_le _ fun i hi => c.one_le_blocks hi
#align composition.length_le Composition.length_le
theorem length_pos_of_pos (h : 0 < n) : 0 < c.length := by
apply length_pos_of_sum_pos
convert h
exact c.blocks_sum
#align composition.length_pos_of_pos Composition.length_pos_of_pos
def sizeUpTo (i : ℕ) : ℕ :=
(c.blocks.take i).sum
#align composition.size_up_to Composition.sizeUpTo
@[simp]
theorem sizeUpTo_zero : c.sizeUpTo 0 = 0 := by simp [sizeUpTo]
#align composition.size_up_to_zero Composition.sizeUpTo_zero
theorem sizeUpTo_ofLength_le (i : ℕ) (h : c.length ≤ i) : c.sizeUpTo i = n := by
dsimp [sizeUpTo]
convert c.blocks_sum
exact take_all_of_le h
#align composition.size_up_to_of_length_le Composition.sizeUpTo_ofLength_le
@[simp]
theorem sizeUpTo_length : c.sizeUpTo c.length = n :=
c.sizeUpTo_ofLength_le c.length le_rfl
#align composition.size_up_to_length Composition.sizeUpTo_length
theorem sizeUpTo_le (i : ℕ) : c.sizeUpTo i ≤ n := by
conv_rhs => rw [← c.blocks_sum, ← sum_take_add_sum_drop _ i]
exact Nat.le_add_right _ _
#align composition.size_up_to_le Composition.sizeUpTo_le
theorem sizeUpTo_succ {i : ℕ} (h : i < c.length) :
c.sizeUpTo (i + 1) = c.sizeUpTo i + c.blocks.get ⟨i, h⟩ := by
simp only [sizeUpTo]
rw [sum_take_succ _ _ h]
#align composition.size_up_to_succ Composition.sizeUpTo_succ
theorem sizeUpTo_succ' (i : Fin c.length) :
c.sizeUpTo ((i : ℕ) + 1) = c.sizeUpTo i + c.blocksFun i :=
c.sizeUpTo_succ i.2
#align composition.size_up_to_succ' Composition.sizeUpTo_succ'
theorem sizeUpTo_strict_mono {i : ℕ} (h : i < c.length) : c.sizeUpTo i < c.sizeUpTo (i + 1) := by
rw [c.sizeUpTo_succ h]
simp
#align composition.size_up_to_strict_mono Composition.sizeUpTo_strict_mono
theorem monotone_sizeUpTo : Monotone c.sizeUpTo :=
monotone_sum_take _
#align composition.monotone_size_up_to Composition.monotone_sizeUpTo
def boundary : Fin (c.length + 1) ↪o Fin (n + 1) :=
(OrderEmbedding.ofStrictMono fun i => ⟨c.sizeUpTo i, Nat.lt_succ_of_le (c.sizeUpTo_le i)⟩) <|
Fin.strictMono_iff_lt_succ.2 fun ⟨_, hi⟩ => c.sizeUpTo_strict_mono hi
#align composition.boundary Composition.boundary
@[simp]
theorem boundary_zero : c.boundary 0 = 0 := by simp [boundary, Fin.ext_iff]
#align composition.boundary_zero Composition.boundary_zero
@[simp]
theorem boundary_last : c.boundary (Fin.last c.length) = Fin.last n := by
simp [boundary, Fin.ext_iff]
#align composition.boundary_last Composition.boundary_last
def boundaries : Finset (Fin (n + 1)) :=
Finset.univ.map c.boundary.toEmbedding
#align composition.boundaries Composition.boundaries
theorem card_boundaries_eq_succ_length : c.boundaries.card = c.length + 1 := by simp [boundaries]
#align composition.card_boundaries_eq_succ_length Composition.card_boundaries_eq_succ_length
def toCompositionAsSet : CompositionAsSet n where
boundaries := c.boundaries
zero_mem := by
simp only [boundaries, Finset.mem_univ, exists_prop_of_true, Finset.mem_map]
exact ⟨0, And.intro True.intro rfl⟩
getLast_mem := by
simp only [boundaries, Finset.mem_univ, exists_prop_of_true, Finset.mem_map]
exact ⟨Fin.last c.length, And.intro True.intro c.boundary_last⟩
#align composition.to_composition_as_set Composition.toCompositionAsSet
theorem orderEmbOfFin_boundaries :
c.boundaries.orderEmbOfFin c.card_boundaries_eq_succ_length = c.boundary := by
refine (Finset.orderEmbOfFin_unique' _ ?_).symm
exact fun i => (Finset.mem_map' _).2 (Finset.mem_univ _)
#align composition.order_emb_of_fin_boundaries Composition.orderEmbOfFin_boundaries
def embedding (i : Fin c.length) : Fin (c.blocksFun i) ↪o Fin n :=
(Fin.natAddOrderEmb <| c.sizeUpTo i).trans <| Fin.castLEOrderEmb <|
calc
c.sizeUpTo i + c.blocksFun i = c.sizeUpTo (i + 1) := (c.sizeUpTo_succ _).symm
_ ≤ c.sizeUpTo c.length := monotone_sum_take _ i.2
_ = n := c.sizeUpTo_length
#align composition.embedding Composition.embedding
@[simp]
theorem coe_embedding (i : Fin c.length) (j : Fin (c.blocksFun i)) :
(c.embedding i j : ℕ) = c.sizeUpTo i + j :=
rfl
#align composition.coe_embedding Composition.coe_embedding
theorem index_exists {j : ℕ} (h : j < n) : ∃ i : ℕ, j < c.sizeUpTo (i + 1) ∧ i < c.length := by
have n_pos : 0 < n := lt_of_le_of_lt (zero_le j) h
have : 0 < c.blocks.sum := by rwa [← c.blocks_sum] at n_pos
have length_pos : 0 < c.blocks.length := length_pos_of_sum_pos (blocks c) this
refine ⟨c.length - 1, ?_, Nat.pred_lt (ne_of_gt length_pos)⟩
have : c.length - 1 + 1 = c.length := Nat.succ_pred_eq_of_pos length_pos
simp [this, h]
#align composition.index_exists Composition.index_exists
def index (j : Fin n) : Fin c.length :=
⟨Nat.find (c.index_exists j.2), (Nat.find_spec (c.index_exists j.2)).2⟩
#align composition.index Composition.index
theorem lt_sizeUpTo_index_succ (j : Fin n) : (j : ℕ) < c.sizeUpTo (c.index j).succ :=
(Nat.find_spec (c.index_exists j.2)).1
#align composition.lt_size_up_to_index_succ Composition.lt_sizeUpTo_index_succ
theorem sizeUpTo_index_le (j : Fin n) : c.sizeUpTo (c.index j) ≤ j := by
by_contra H
set i := c.index j
push_neg at H
have i_pos : (0 : ℕ) < i := by
by_contra! i_pos
revert H
simp [nonpos_iff_eq_zero.1 i_pos, c.sizeUpTo_zero]
let i₁ := (i : ℕ).pred
have i₁_lt_i : i₁ < i := Nat.pred_lt (ne_of_gt i_pos)
have i₁_succ : i₁ + 1 = i := Nat.succ_pred_eq_of_pos i_pos
have := Nat.find_min (c.index_exists j.2) i₁_lt_i
simp [lt_trans i₁_lt_i (c.index j).2, i₁_succ] at this
exact Nat.lt_le_asymm H this
#align composition.size_up_to_index_le Composition.sizeUpTo_index_le
def invEmbedding (j : Fin n) : Fin (c.blocksFun (c.index j)) :=
⟨j - c.sizeUpTo (c.index j), by
rw [tsub_lt_iff_right, add_comm, ← sizeUpTo_succ']
· exact lt_sizeUpTo_index_succ _ _
· exact sizeUpTo_index_le _ _⟩
#align composition.inv_embedding Composition.invEmbedding
@[simp]
theorem coe_invEmbedding (j : Fin n) : (c.invEmbedding j : ℕ) = j - c.sizeUpTo (c.index j) :=
rfl
#align composition.coe_inv_embedding Composition.coe_invEmbedding
theorem embedding_comp_inv (j : Fin n) : c.embedding (c.index j) (c.invEmbedding j) = j := by
rw [Fin.ext_iff]
apply add_tsub_cancel_of_le (c.sizeUpTo_index_le j)
#align composition.embedding_comp_inv Composition.embedding_comp_inv
theorem mem_range_embedding_iff {j : Fin n} {i : Fin c.length} :
j ∈ Set.range (c.embedding i) ↔ c.sizeUpTo i ≤ j ∧ (j : ℕ) < c.sizeUpTo (i : ℕ).succ := by
constructor
· intro h
rcases Set.mem_range.2 h with ⟨k, hk⟩
rw [Fin.ext_iff] at hk
dsimp at hk
rw [← hk]
simp [sizeUpTo_succ', k.is_lt]
· intro h
apply Set.mem_range.2
refine ⟨⟨j - c.sizeUpTo i, ?_⟩, ?_⟩
· rw [tsub_lt_iff_left, ← sizeUpTo_succ']
· exact h.2
· exact h.1
· rw [Fin.ext_iff]
exact add_tsub_cancel_of_le h.1
#align composition.mem_range_embedding_iff Composition.mem_range_embedding_iff
theorem disjoint_range {i₁ i₂ : Fin c.length} (h : i₁ ≠ i₂) :
Disjoint (Set.range (c.embedding i₁)) (Set.range (c.embedding i₂)) := by
classical
wlog h' : i₁ < i₂
· exact (this c h.symm (h.lt_or_lt.resolve_left h')).symm
by_contra d
obtain ⟨x, hx₁, hx₂⟩ :
∃ x : Fin n, x ∈ Set.range (c.embedding i₁) ∧ x ∈ Set.range (c.embedding i₂) :=
Set.not_disjoint_iff.1 d
have A : (i₁ : ℕ).succ ≤ i₂ := Nat.succ_le_of_lt h'
apply lt_irrefl (x : ℕ)
calc
(x : ℕ) < c.sizeUpTo (i₁ : ℕ).succ := (c.mem_range_embedding_iff.1 hx₁).2
_ ≤ c.sizeUpTo (i₂ : ℕ) := monotone_sum_take _ A
_ ≤ x := (c.mem_range_embedding_iff.1 hx₂).1
#align composition.disjoint_range Composition.disjoint_range
theorem mem_range_embedding (j : Fin n) : j ∈ Set.range (c.embedding (c.index j)) := by
have : c.embedding (c.index j) (c.invEmbedding j) ∈ Set.range (c.embedding (c.index j)) :=
Set.mem_range_self _
rwa [c.embedding_comp_inv j] at this
#align composition.mem_range_embedding Composition.mem_range_embedding
theorem mem_range_embedding_iff' {j : Fin n} {i : Fin c.length} :
j ∈ Set.range (c.embedding i) ↔ i = c.index j := by
constructor
· rw [← not_imp_not]
intro h
exact Set.disjoint_right.1 (c.disjoint_range h) (c.mem_range_embedding j)
· intro h
rw [h]
exact c.mem_range_embedding j
#align composition.mem_range_embedding_iff' Composition.mem_range_embedding_iff'
theorem index_embedding (i : Fin c.length) (j : Fin (c.blocksFun i)) :
c.index (c.embedding i j) = i := by
symm
rw [← mem_range_embedding_iff']
apply Set.mem_range_self
#align composition.index_embedding Composition.index_embedding
theorem invEmbedding_comp (i : Fin c.length) (j : Fin (c.blocksFun i)) :
(c.invEmbedding (c.embedding i j) : ℕ) = j := by
simp_rw [coe_invEmbedding, index_embedding, coe_embedding, add_tsub_cancel_left]
#align composition.inv_embedding_comp Composition.invEmbedding_comp
def blocksFinEquiv : (Σi : Fin c.length, Fin (c.blocksFun i)) ≃ Fin n where
toFun x := c.embedding x.1 x.2
invFun j := ⟨c.index j, c.invEmbedding j⟩
left_inv x := by
rcases x with ⟨i, y⟩
dsimp
congr; · exact c.index_embedding _ _
rw [Fin.heq_ext_iff]
· exact c.invEmbedding_comp _ _
· rw [c.index_embedding]
right_inv j := c.embedding_comp_inv j
#align composition.blocks_fin_equiv Composition.blocksFinEquiv
theorem blocksFun_congr {n₁ n₂ : ℕ} (c₁ : Composition n₁) (c₂ : Composition n₂) (i₁ : Fin c₁.length)
(i₂ : Fin c₂.length) (hn : n₁ = n₂) (hc : c₁.blocks = c₂.blocks) (hi : (i₁ : ℕ) = i₂) :
c₁.blocksFun i₁ = c₂.blocksFun i₂ := by
cases hn
rw [← Composition.ext_iff] at hc
cases hc
congr
rwa [Fin.ext_iff]
#align composition.blocks_fun_congr Composition.blocksFun_congr
theorem sigma_eq_iff_blocks_eq {c : Σn, Composition n} {c' : Σn, Composition n} :
c = c' ↔ c.2.blocks = c'.2.blocks := by
refine ⟨fun H => by rw [H], fun H => ?_⟩
rcases c with ⟨n, c⟩
rcases c' with ⟨n', c'⟩
have : n = n' := by rw [← c.blocks_sum, ← c'.blocks_sum, H]
induction this
congr
ext1
exact H
#align composition.sigma_eq_iff_blocks_eq Composition.sigma_eq_iff_blocks_eq
def ones (n : ℕ) : Composition n :=
⟨replicate n (1 : ℕ), fun {i} hi => by simp [List.eq_of_mem_replicate hi], by simp⟩
#align composition.ones Composition.ones
instance {n : ℕ} : Inhabited (Composition n) :=
⟨Composition.ones n⟩
@[simp]
theorem ones_length (n : ℕ) : (ones n).length = n :=
List.length_replicate n 1
#align composition.ones_length Composition.ones_length
@[simp]
theorem ones_blocks (n : ℕ) : (ones n).blocks = replicate n (1 : ℕ) :=
rfl
#align composition.ones_blocks Composition.ones_blocks
@[simp]
theorem ones_blocksFun (n : ℕ) (i : Fin (ones n).length) : (ones n).blocksFun i = 1 := by
simp only [blocksFun, ones, blocks, i.2, List.get_replicate]
#align composition.ones_blocks_fun Composition.ones_blocksFun
@[simp]
theorem ones_sizeUpTo (n : ℕ) (i : ℕ) : (ones n).sizeUpTo i = min i n := by
simp [sizeUpTo, ones_blocks, take_replicate]
#align composition.ones_size_up_to Composition.ones_sizeUpTo
@[simp]
| Mathlib/Combinatorics/Enumerative/Composition.lean | 499 | 502 | theorem ones_embedding (i : Fin (ones n).length) (h : 0 < (ones n).blocksFun i) :
(ones n).embedding i ⟨0, h⟩ = ⟨i, lt_of_lt_of_le i.2 (ones n).length_le⟩ := by |
ext
simpa using i.2.le
|
import Mathlib.Order.Lattice
import Mathlib.Data.List.Sort
import Mathlib.Logic.Equiv.Fin
import Mathlib.Logic.Equiv.Functor
import Mathlib.Data.Fintype.Card
import Mathlib.Order.RelSeries
#align_import order.jordan_holder from "leanprover-community/mathlib"@"91288e351d51b3f0748f0a38faa7613fb0ae2ada"
universe u
open Set RelSeries
class JordanHolderLattice (X : Type u) [Lattice X] where
IsMaximal : X → X → Prop
lt_of_isMaximal : ∀ {x y}, IsMaximal x y → x < y
sup_eq_of_isMaximal : ∀ {x y z}, IsMaximal x z → IsMaximal y z → x ≠ y → x ⊔ y = z
isMaximal_inf_left_of_isMaximal_sup :
∀ {x y}, IsMaximal x (x ⊔ y) → IsMaximal y (x ⊔ y) → IsMaximal (x ⊓ y) x
Iso : X × X → X × X → Prop
iso_symm : ∀ {x y}, Iso x y → Iso y x
iso_trans : ∀ {x y z}, Iso x y → Iso y z → Iso x z
second_iso : ∀ {x y}, IsMaximal x (x ⊔ y) → Iso (x, x ⊔ y) (x ⊓ y, y)
#align jordan_holder_lattice JordanHolderLattice
open JordanHolderLattice
attribute [symm] iso_symm
attribute [trans] iso_trans
abbrev CompositionSeries (X : Type u) [Lattice X] [JordanHolderLattice X] : Type u :=
RelSeries (IsMaximal (X := X))
#align composition_series CompositionSeries
namespace CompositionSeries
variable {X : Type u} [Lattice X] [JordanHolderLattice X]
#noalign composition_series.has_coe_to_fun
#align composition_series.has_inhabited RelSeries.instInhabited
#align composition_series.step RelSeries.membership
theorem lt_succ (s : CompositionSeries X) (i : Fin s.length) :
s (Fin.castSucc i) < s (Fin.succ i) :=
lt_of_isMaximal (s.step _)
#align composition_series.lt_succ CompositionSeries.lt_succ
protected theorem strictMono (s : CompositionSeries X) : StrictMono s :=
Fin.strictMono_iff_lt_succ.2 s.lt_succ
#align composition_series.strict_mono CompositionSeries.strictMono
protected theorem injective (s : CompositionSeries X) : Function.Injective s :=
s.strictMono.injective
#align composition_series.injective CompositionSeries.injective
@[simp]
protected theorem inj (s : CompositionSeries X) {i j : Fin s.length.succ} : s i = s j ↔ i = j :=
s.injective.eq_iff
#align composition_series.inj CompositionSeries.inj
#align composition_series.has_mem RelSeries.membership
#align composition_series.mem_def RelSeries.mem_def
theorem total {s : CompositionSeries X} {x y : X} (hx : x ∈ s) (hy : y ∈ s) : x ≤ y ∨ y ≤ x := by
rcases Set.mem_range.1 hx with ⟨i, rfl⟩
rcases Set.mem_range.1 hy with ⟨j, rfl⟩
rw [s.strictMono.le_iff_le, s.strictMono.le_iff_le]
exact le_total i j
#align composition_series.total CompositionSeries.total
#align composition_series.to_list RelSeries.toList
#align composition_series.ext_fun RelSeries.ext
#align composition_series.length_to_list RelSeries.length_toList
#align composition_series.to_list_ne_nil RelSeries.toList_ne_nil
#align composition_series.to_list_injective RelSeries.toList_injective
#align composition_series.chain'_to_list RelSeries.toList_chain'
theorem toList_sorted (s : CompositionSeries X) : s.toList.Sorted (· < ·) :=
List.pairwise_iff_get.2 fun i j h => by
dsimp only [RelSeries.toList]
rw [List.get_ofFn, List.get_ofFn]
exact s.strictMono h
#align composition_series.to_list_sorted CompositionSeries.toList_sorted
theorem toList_nodup (s : CompositionSeries X) : s.toList.Nodup :=
s.toList_sorted.nodup
#align composition_series.to_list_nodup CompositionSeries.toList_nodup
#align composition_series.mem_to_list RelSeries.mem_toList
#align composition_series.of_list RelSeries.fromListChain'
#align composition_series.length_of_list RelSeries.fromListChain'_length
#noalign composition_series.of_list_to_list
#noalign composition_series.of_list_to_list'
#noalign composition_series.to_list_of_list
@[ext]
theorem ext {s₁ s₂ : CompositionSeries X} (h : ∀ x, x ∈ s₁ ↔ x ∈ s₂) : s₁ = s₂ :=
toList_injective <|
List.eq_of_perm_of_sorted
(by
classical
exact List.perm_of_nodup_nodup_toFinset_eq s₁.toList_nodup s₂.toList_nodup
(Finset.ext <| by simpa only [List.mem_toFinset, RelSeries.mem_toList]))
s₁.toList_sorted s₂.toList_sorted
#align composition_series.ext CompositionSeries.ext
#align composition_series.top RelSeries.last
#align composition_series.top_mem RelSeries.last_mem
@[simp]
theorem le_last {s : CompositionSeries X} (i : Fin (s.length + 1)) : s i ≤ s.last :=
s.strictMono.monotone (Fin.le_last _)
#align composition_series.le_top CompositionSeries.le_last
theorem le_last_of_mem {s : CompositionSeries X} {x : X} (hx : x ∈ s) : x ≤ s.last :=
let ⟨_i, hi⟩ := Set.mem_range.2 hx
hi ▸ le_last _
#align composition_series.le_top_of_mem CompositionSeries.le_last_of_mem
#align composition_series.bot RelSeries.head
#align composition_series.bot_mem RelSeries.head_mem
@[simp]
theorem head_le {s : CompositionSeries X} (i : Fin (s.length + 1)) : s.head ≤ s i :=
s.strictMono.monotone (Fin.zero_le _)
#align composition_series.bot_le CompositionSeries.head_le
theorem head_le_of_mem {s : CompositionSeries X} {x : X} (hx : x ∈ s) : s.head ≤ x :=
let ⟨_i, hi⟩ := Set.mem_range.2 hx
hi ▸ head_le _
#align composition_series.bot_le_of_mem CompositionSeries.head_le_of_mem
-- The aligned versions of the following two lemmas are not exactly the same as the original
-- but they are mathematically equivalent.
#align composition_series.length_pos_of_mem_ne RelSeries.length_pos_of_nontrivial
#align composition_series.forall_mem_eq_of_length_eq_zero RelSeries.subsingleton_of_length_eq_zero
#align composition_series.erase_top RelSeries.eraseLast
#align composition_series.top_erase_top RelSeries.last_eraseLast
theorem last_eraseLast_le (s : CompositionSeries X) : s.eraseLast.last ≤ s.last := by
simp [eraseLast, last, s.strictMono.le_iff_le, Fin.le_iff_val_le_val, tsub_le_self]
#align composition_series.erase_top_top_le CompositionSeries.last_eraseLast_le
#align composition_series.bot_erase_top RelSeries.head_eraseLast
theorem mem_eraseLast_of_ne_of_mem {s : CompositionSeries X} {x : X}
(hx : x ≠ s.last) (hxs : x ∈ s) : x ∈ s.eraseLast := by
rcases hxs with ⟨i, rfl⟩
have hi : (i : ℕ) < (s.length - 1).succ := by
conv_rhs => rw [← Nat.succ_sub (length_pos_of_nontrivial ⟨_, ⟨i, rfl⟩, _, s.last_mem, hx⟩),
Nat.add_one_sub_one]
exact lt_of_le_of_ne (Nat.le_of_lt_succ i.2) (by simpa [last, s.inj, Fin.ext_iff] using hx)
refine ⟨Fin.castSucc (n := s.length + 1) i, ?_⟩
simp [Fin.ext_iff, Nat.mod_eq_of_lt hi]
#align composition_series.mem_erase_top_of_ne_of_mem CompositionSeries.mem_eraseLast_of_ne_of_mem
theorem mem_eraseLast {s : CompositionSeries X} {x : X} (h : 0 < s.length) :
x ∈ s.eraseLast ↔ x ≠ s.last ∧ x ∈ s := by
simp only [RelSeries.mem_def, eraseLast]
constructor
· rintro ⟨i, rfl⟩
have hi : (i : ℕ) < s.length := by
conv_rhs => rw [← Nat.add_one_sub_one s.length, Nat.succ_sub h]
exact i.2
-- porting note (#10745): was `simp [top, Fin.ext_iff, ne_of_lt hi]`.
simp [last, Fin.ext_iff, ne_of_lt hi, -Set.mem_range, Set.mem_range_self]
· intro h
exact mem_eraseLast_of_ne_of_mem h.1 h.2
#align composition_series.mem_erase_top CompositionSeries.mem_eraseLast
theorem lt_last_of_mem_eraseLast {s : CompositionSeries X} {x : X} (h : 0 < s.length)
(hx : x ∈ s.eraseLast) : x < s.last :=
lt_of_le_of_ne (le_last_of_mem ((mem_eraseLast h).1 hx).2) ((mem_eraseLast h).1 hx).1
#align composition_series.lt_top_of_mem_erase_top CompositionSeries.lt_last_of_mem_eraseLast
theorem isMaximal_eraseLast_last {s : CompositionSeries X} (h : 0 < s.length) :
IsMaximal s.eraseLast.last s.last := by
have : s.length - 1 + 1 = s.length := by
conv_rhs => rw [← Nat.add_one_sub_one s.length]; rw [Nat.succ_sub h]
rw [last_eraseLast, last]
convert s.step ⟨s.length - 1, by omega⟩; ext; simp [this]
#align composition_series.is_maximal_erase_top_top CompositionSeries.isMaximal_eraseLast_last
#align composition_series.append RelSeries.smash
#noalign composition_series.coe_append
#align composition_series.append_cast_add RelSeries.smash_castAdd
#align composition_series.append_succ_cast_add RelSeries.smash_succ_castAdd
#align composition_series.append_nat_add RelSeries.smash_natAdd
#align composition_series.append_succ_nat_add RelSeries.smash_succ_natAdd
#align composition_series.snoc RelSeries.snoc
#align composition_series.top_snoc RelSeries.last_snoc
#align composition_series.snoc_last RelSeries.last_snoc
#align composition_series.snoc_cast_succ RelSeries.snoc_castSucc
#align composition_series.bot_snoc RelSeries.head_snoc
#align composition_series.mem_snoc RelSeries.mem_snoc
theorem eq_snoc_eraseLast {s : CompositionSeries X} (h : 0 < s.length) :
s = snoc (eraseLast s) s.last (isMaximal_eraseLast_last h) := by
ext x
simp only [mem_snoc, mem_eraseLast h, ne_eq]
by_cases h : x = s.last <;> simp [*, s.last_mem]
#align composition_series.eq_snoc_erase_top CompositionSeries.eq_snoc_eraseLast
@[simp]
theorem snoc_eraseLast_last {s : CompositionSeries X} (h : IsMaximal s.eraseLast.last s.last) :
s.eraseLast.snoc s.last h = s :=
have h : 0 < s.length :=
Nat.pos_of_ne_zero (fun hs => ne_of_gt (lt_of_isMaximal h) <| by simp [last, Fin.ext_iff, hs])
(eq_snoc_eraseLast h).symm
#align composition_series.snoc_erase_top_top CompositionSeries.snoc_eraseLast_last
def Equivalent (s₁ s₂ : CompositionSeries X) : Prop :=
∃ f : Fin s₁.length ≃ Fin s₂.length,
∀ i : Fin s₁.length, Iso (s₁ (Fin.castSucc i), s₁ i.succ)
(s₂ (Fin.castSucc (f i)), s₂ (Fin.succ (f i)))
#align composition_series.equivalent CompositionSeries.Equivalent
theorem length_eq_zero_of_head_eq_head_of_last_eq_last_of_length_eq_zero
{s₁ s₂ : CompositionSeries X} (hb : s₁.head = s₂.head)
(ht : s₁.last = s₂.last) (hs₁ : s₁.length = 0) : s₂.length = 0 := by
have : Fin.last s₂.length = (0 : Fin s₂.length.succ) :=
s₂.injective (hb.symm.trans ((congr_arg s₁ (Fin.ext (by simp [hs₁]))).trans ht)).symm
simpa [Fin.ext_iff]
#align composition_series.length_eq_zero_of_head_eq_head_of_last_eq_last_of_length_eq_zero CompositionSeries.length_eq_zero_of_head_eq_head_of_last_eq_last_of_length_eq_zero
theorem length_pos_of_head_eq_head_of_last_eq_last_of_length_pos {s₁ s₂ : CompositionSeries X}
(hb : s₁.head = s₂.head) (ht : s₁.last = s₂.last) : 0 < s₁.length → 0 < s₂.length :=
not_imp_not.1
(by
simpa only [pos_iff_ne_zero, ne_eq, Decidable.not_not] using
length_eq_zero_of_head_eq_head_of_last_eq_last_of_length_eq_zero hb.symm ht.symm)
#align composition_series.length_pos_of_head_eq_head_of_last_eq_last_of_length_pos CompositionSeries.length_pos_of_head_eq_head_of_last_eq_last_of_length_pos
| Mathlib/Order/JordanHolder.lean | 448 | 459 | theorem eq_of_head_eq_head_of_last_eq_last_of_length_eq_zero {s₁ s₂ : CompositionSeries X}
(hb : s₁.head = s₂.head) (ht : s₁.last = s₂.last) (hs₁0 : s₁.length = 0) : s₁ = s₂ := by |
have : ∀ x, x ∈ s₁ ↔ x = s₁.last := fun x =>
⟨fun hx => subsingleton_of_length_eq_zero hs₁0 hx s₁.last_mem, fun hx => hx.symm ▸ s₁.last_mem⟩
have : ∀ x, x ∈ s₂ ↔ x = s₂.last := fun x =>
⟨fun hx =>
subsingleton_of_length_eq_zero
(length_eq_zero_of_head_eq_head_of_last_eq_last_of_length_eq_zero hb ht
hs₁0) hx s₂.last_mem,
fun hx => hx.symm ▸ s₂.last_mem⟩
ext
simp [*]
|
import Mathlib.Data.List.Duplicate
import Mathlib.Data.List.Sort
#align_import data.list.nodup_equiv_fin from "leanprover-community/mathlib"@"008205aa645b3f194c1da47025c5f110c8406eab"
namespace List
variable {α : Type*}
section Sublist
theorem sublist_of_orderEmbedding_get?_eq {l l' : List α} (f : ℕ ↪o ℕ)
(hf : ∀ ix : ℕ, l.get? ix = l'.get? (f ix)) : l <+ l' := by
induction' l with hd tl IH generalizing l' f
· simp
have : some hd = _ := hf 0
rw [eq_comm, List.get?_eq_some] at this
obtain ⟨w, h⟩ := this
let f' : ℕ ↪o ℕ :=
OrderEmbedding.ofMapLEIff (fun i => f (i + 1) - (f 0 + 1)) fun a b => by
dsimp only
rw [Nat.sub_le_sub_iff_right, OrderEmbedding.le_iff_le, Nat.succ_le_succ_iff]
rw [Nat.succ_le_iff, OrderEmbedding.lt_iff_lt]
exact b.succ_pos
have : ∀ ix, tl.get? ix = (l'.drop (f 0 + 1)).get? (f' ix) := by
intro ix
rw [List.get?_drop, OrderEmbedding.coe_ofMapLEIff, Nat.add_sub_cancel', ← hf, List.get?]
rw [Nat.succ_le_iff, OrderEmbedding.lt_iff_lt]
exact ix.succ_pos
rw [← List.take_append_drop (f 0 + 1) l', ← List.singleton_append]
apply List.Sublist.append _ (IH _ this)
rw [List.singleton_sublist, ← h, l'.get_take _ (Nat.lt_succ_self _)]
apply List.get_mem
#align list.sublist_of_order_embedding_nth_eq List.sublist_of_orderEmbedding_get?_eq
theorem sublist_iff_exists_orderEmbedding_get?_eq {l l' : List α} :
l <+ l' ↔ ∃ f : ℕ ↪o ℕ, ∀ ix : ℕ, l.get? ix = l'.get? (f ix) := by
constructor
· intro H
induction' H with xs ys y _H IH xs ys x _H IH
· simp
· obtain ⟨f, hf⟩ := IH
refine ⟨f.trans (OrderEmbedding.ofStrictMono (· + 1) fun _ => by simp), ?_⟩
simpa using hf
· obtain ⟨f, hf⟩ := IH
refine
⟨OrderEmbedding.ofMapLEIff (fun ix : ℕ => if ix = 0 then 0 else (f ix.pred).succ) ?_, ?_⟩
· rintro ⟨_ | a⟩ ⟨_ | b⟩ <;> simp [Nat.succ_le_succ_iff]
· rintro ⟨_ | i⟩
· simp
· simpa using hf _
· rintro ⟨f, hf⟩
exact sublist_of_orderEmbedding_get?_eq f hf
#align list.sublist_iff_exists_order_embedding_nth_eq List.sublist_iff_exists_orderEmbedding_get?_eq
theorem sublist_iff_exists_fin_orderEmbedding_get_eq {l l' : List α} :
l <+ l' ↔
∃ f : Fin l.length ↪o Fin l'.length,
∀ ix : Fin l.length, l.get ix = l'.get (f ix) := by
rw [sublist_iff_exists_orderEmbedding_get?_eq]
constructor
· rintro ⟨f, hf⟩
have h : ∀ {i : ℕ}, i < l.length → f i < l'.length := by
intro i hi
specialize hf i
rw [get?_eq_get hi, eq_comm, get?_eq_some] at hf
obtain ⟨h, -⟩ := hf
exact h
refine ⟨OrderEmbedding.ofMapLEIff (fun ix => ⟨f ix, h ix.is_lt⟩) ?_, ?_⟩
· simp
· intro i
apply Option.some_injective
simpa [get?_eq_get i.2, get?_eq_get (h i.2)] using hf i
· rintro ⟨f, hf⟩
refine
⟨OrderEmbedding.ofStrictMono (fun i => if hi : i < l.length then f ⟨i, hi⟩ else i + l'.length)
?_,
?_⟩
· intro i j h
dsimp only
split_ifs with hi hj hj
· rwa [Fin.val_fin_lt, f.lt_iff_lt]
· have := (f ⟨i, hi⟩).is_lt
omega
· exact absurd (h.trans hj) hi
· simpa using h
· intro i
simp only [OrderEmbedding.coe_ofStrictMono]
split_ifs with hi
· rw [get?_eq_get hi, get?_eq_get, ← hf]
· rw [get?_eq_none.mpr, get?_eq_none.mpr]
· simp
· simpa using hi
#align list.sublist_iff_exists_fin_order_embedding_nth_le_eq List.sublist_iff_exists_fin_orderEmbedding_get_eq
| Mathlib/Data/List/NodupEquivFin.lean | 211 | 232 | theorem duplicate_iff_exists_distinct_get {l : List α} {x : α} :
l.Duplicate x ↔
∃ (n m : Fin l.length) (_ : n < m),
x = l.get n ∧ x = l.get m := by |
classical
rw [duplicate_iff_two_le_count, le_count_iff_replicate_sublist,
sublist_iff_exists_fin_orderEmbedding_get_eq]
constructor
· rintro ⟨f, hf⟩
refine ⟨f ⟨0, by simp⟩, f ⟨1, by simp⟩, f.lt_iff_lt.2 (Nat.zero_lt_one), ?_⟩
rw [← hf, ← hf]; simp
· rintro ⟨n, m, hnm, h, h'⟩
refine ⟨OrderEmbedding.ofStrictMono (fun i => if (i : ℕ) = 0 then n else m) ?_, ?_⟩
· rintro ⟨⟨_ | i⟩, hi⟩ ⟨⟨_ | j⟩, hj⟩
· simp
· simp [hnm]
· simp
· simp only [Nat.lt_succ_iff, Nat.succ_le_succ_iff, replicate, length, Nat.le_zero] at hi hj
simp [hi, hj]
· rintro ⟨⟨_ | i⟩, hi⟩
· simpa using h
· simpa using h'
|
import Mathlib.Algebra.CharP.Invertible
import Mathlib.LinearAlgebra.AffineSpace.Midpoint
#align_import linear_algebra.affine_space.midpoint_zero from "leanprover-community/mathlib"@"78261225eb5cedc61c5c74ecb44e5b385d13b733"
open AffineMap AffineEquiv
theorem lineMap_inv_two {R : Type*} {V P : Type*} [DivisionRing R] [CharZero R] [AddCommGroup V]
[Module R V] [AddTorsor V P] (a b : P) : lineMap a b (2⁻¹ : R) = midpoint R a b :=
rfl
#align line_map_inv_two lineMap_inv_two
| Mathlib/LinearAlgebra/AffineSpace/MidpointZero.lean | 29 | 31 | theorem lineMap_one_half {R : Type*} {V P : Type*} [DivisionRing R] [CharZero R] [AddCommGroup V]
[Module R V] [AddTorsor V P] (a b : P) : lineMap a b (1 / 2 : R) = midpoint R a b := by |
rw [one_div, lineMap_inv_two]
|
import Mathlib.Data.Nat.Choose.Basic
import Mathlib.Data.Sym.Sym2
namespace List
variable {α : Type*}
section Sym2
protected def sym2 : List α → List (Sym2 α)
| [] => []
| x :: xs => (x :: xs).map (fun y => s(x, y)) ++ xs.sym2
| Mathlib/Data/List/Sym.lean | 40 | 43 | theorem mem_sym2_cons_iff {x : α} {xs : List α} {z : Sym2 α} :
z ∈ (x :: xs).sym2 ↔ z = s(x, x) ∨ (∃ y, y ∈ xs ∧ z = s(x, y)) ∨ z ∈ xs.sym2 := by |
simp only [List.sym2, map_cons, cons_append, mem_cons, mem_append, mem_map]
simp only [eq_comm]
|
import Mathlib.Data.Nat.SuccPred
import Mathlib.Algebra.CharZero.Lemmas
import Mathlib.Algebra.Order.Sub.WithTop
import Mathlib.Algebra.Order.Ring.WithTop
#align_import data.enat.basic from "leanprover-community/mathlib"@"ceb887ddf3344dab425292e497fa2af91498437c"
def ENat : Type :=
WithTop ℕ
deriving Zero,
-- AddCommMonoidWithOne,
CanonicallyOrderedCommSemiring, Nontrivial,
LinearOrder, Bot, Top, CanonicallyLinearOrderedAddCommMonoid, Sub,
LinearOrderedAddCommMonoidWithTop, WellFoundedRelation, Inhabited
-- OrderBot, OrderTop, OrderedSub, SuccOrder, WellFoundedLt, CharZero
#align enat ENat
-- Porting Note: In `Data.Nat.ENatPart` proofs timed out when having
-- the `deriving AddCommMonoidWithOne`, and it seems to work without.
notation "ℕ∞" => ENat
namespace ENat
-- Porting note: instances that derive failed to find
instance : OrderBot ℕ∞ := WithTop.orderBot
instance : OrderTop ℕ∞ := WithTop.orderTop
instance : OrderedSub ℕ∞ := inferInstanceAs (OrderedSub (WithTop ℕ))
instance : SuccOrder ℕ∞ := inferInstanceAs (SuccOrder (WithTop ℕ))
instance : WellFoundedLT ℕ∞ := inferInstanceAs (WellFoundedLT (WithTop ℕ))
instance : CharZero ℕ∞ := inferInstanceAs (CharZero (WithTop ℕ))
instance : IsWellOrder ℕ∞ (· < ·) where
variable {m n : ℕ∞}
@[simp] theorem some_eq_coe : (WithTop.some : ℕ → ℕ∞) = Nat.cast := rfl
-- Porting note: `simp` and `norm_cast` can prove it
--@[simp, norm_cast]
theorem coe_zero : ((0 : ℕ) : ℕ∞) = 0 :=
rfl
#align enat.coe_zero ENat.coe_zero
-- Porting note: `simp` and `norm_cast` can prove it
--@[simp, norm_cast]
theorem coe_one : ((1 : ℕ) : ℕ∞) = 1 :=
rfl
#align enat.coe_one ENat.coe_one
-- Porting note: `simp` and `norm_cast` can prove it
--@[simp, norm_cast]
theorem coe_add (m n : ℕ) : ↑(m + n) = (m + n : ℕ∞) :=
rfl
#align enat.coe_add ENat.coe_add
@[simp, norm_cast]
theorem coe_sub (m n : ℕ) : ↑(m - n) = (m - n : ℕ∞) :=
rfl
#align enat.coe_sub ENat.coe_sub
-- Eligible for dsimp
@[simp, nolint simpNF] lemma coe_mul (m n : ℕ) : ↑(m * n) = (m * n : ℕ∞) := rfl
#align enat.coe_mul ENat.coe_mul
@[simp] theorem mul_top (hm : m ≠ 0) : m * ⊤ = ⊤ := WithTop.mul_top hm
@[simp] theorem top_mul (hm : m ≠ 0) : ⊤ * m = ⊤ := WithTop.top_mul hm
instance canLift : CanLift ℕ∞ ℕ (↑) (· ≠ ⊤) := WithTop.canLift
#align enat.can_lift ENat.canLift
instance : WellFoundedRelation ℕ∞ where
rel := (· < ·)
wf := IsWellFounded.wf
def toNat : MonoidWithZeroHom ℕ∞ ℕ where
toFun := WithTop.untop' 0
map_one' := rfl
map_zero' := rfl
map_mul' := WithTop.untop'_zero_mul
#align enat.to_nat ENat.toNat
@[simp]
theorem toNat_coe (n : ℕ) : toNat n = n :=
rfl
#align enat.to_nat_coe ENat.toNat_coe
-- See note [no_index around OfNat.ofNat]
@[simp]
theorem toNat_ofNat (n : ℕ) [n.AtLeastTwo] : toNat (no_index (OfNat.ofNat n)) = n :=
rfl
@[simp]
theorem toNat_top : toNat ⊤ = 0 :=
rfl
#align enat.to_nat_top ENat.toNat_top
@[simp] theorem toNat_eq_zero : toNat n = 0 ↔ n = 0 ∨ n = ⊤ := WithTop.untop'_eq_self_iff
-- Porting note (#11445): new definition copied from `WithTop`
@[elab_as_elim, induction_eliminator, cases_eliminator]
def recTopCoe {C : ℕ∞ → Sort*} (top : C ⊤) (coe : ∀ a : ℕ, C a) : ∀ n : ℕ∞, C n
| none => top
| Option.some a => coe a
-- Porting note (#10756): new theorem copied from `WithTop`
@[simp]
theorem recTopCoe_top {C : ℕ∞ → Sort*} (d : C ⊤) (f : ∀ a : ℕ, C a) :
@recTopCoe C d f ⊤ = d :=
rfl
-- Porting note (#10756): new theorem copied from `WithTop`
@[simp]
theorem recTopCoe_coe {C : ℕ∞ → Sort*} (d : C ⊤) (f : ∀ a : ℕ, C a) (x : ℕ) :
@recTopCoe C d f ↑x = f x :=
rfl
@[simp]
theorem recTopCoe_zero {C : ℕ∞ → Sort*} (d : C ⊤) (f : ∀ a : ℕ, C a) : @recTopCoe C d f 0 = f 0 :=
rfl
@[simp]
theorem recTopCoe_one {C : ℕ∞ → Sort*} (d : C ⊤) (f : ∀ a : ℕ, C a) : @recTopCoe C d f 1 = f 1 :=
rfl
-- See note [no_index around OfNat.ofNat]
@[simp]
theorem recTopCoe_ofNat {C : ℕ∞ → Sort*} (d : C ⊤) (f : ∀ a : ℕ, C a) (x : ℕ) [x.AtLeastTwo] :
@recTopCoe C d f (no_index (OfNat.ofNat x)) = f (OfNat.ofNat x) :=
rfl
-- Porting note (#10756): new theorem copied from `WithTop`
@[simp]
theorem top_ne_coe (a : ℕ) : ⊤ ≠ (a : ℕ∞) :=
nofun
-- See note [no_index around OfNat.ofNat]
@[simp]
theorem top_ne_ofNat (a : ℕ) [a.AtLeastTwo] : ⊤ ≠ (no_index (OfNat.ofNat a : ℕ∞)) :=
nofun
-- Porting note (#10756): new theorem copied from `WithTop`
@[simp]
theorem coe_ne_top (a : ℕ) : (a : ℕ∞) ≠ ⊤ :=
nofun
-- See note [no_index around OfNat.ofNat]
@[simp]
theorem ofNat_ne_top (a : ℕ) [a.AtLeastTwo] : (no_index (OfNat.ofNat a : ℕ∞)) ≠ ⊤ :=
nofun
-- Porting note (#10756): new theorem copied from `WithTop`
@[simp]
theorem top_sub_coe (a : ℕ) : (⊤ : ℕ∞) - a = ⊤ :=
WithTop.top_sub_coe
@[simp]
theorem top_sub_one : (⊤ : ℕ∞) - 1 = ⊤ :=
top_sub_coe 1
-- See note [no_index around OfNat.ofNat]
@[simp]
theorem top_sub_ofNat (a : ℕ) [a.AtLeastTwo] : (⊤ : ℕ∞) - (no_index (OfNat.ofNat a)) = ⊤ :=
top_sub_coe a
@[simp]
theorem zero_lt_top : (0 : ℕ∞) < ⊤ :=
WithTop.zero_lt_top
-- Porting note (#10756): new theorem copied from `WithTop`
theorem sub_top (a : ℕ∞) : a - ⊤ = 0 :=
WithTop.sub_top
@[simp]
theorem coe_toNat_eq_self : ENat.toNat n = n ↔ n ≠ ⊤ :=
ENat.recTopCoe (by decide) (fun _ => by simp [toNat_coe]) n
#align enat.coe_to_nat_eq_self ENat.coe_toNat_eq_self
alias ⟨_, coe_toNat⟩ := coe_toNat_eq_self
#align enat.coe_to_nat ENat.coe_toNat
theorem coe_toNat_le_self (n : ℕ∞) : ↑(toNat n) ≤ n :=
ENat.recTopCoe le_top (fun _ => le_rfl) n
#align enat.coe_to_nat_le_self ENat.coe_toNat_le_self
theorem toNat_add {m n : ℕ∞} (hm : m ≠ ⊤) (hn : n ≠ ⊤) : toNat (m + n) = toNat m + toNat n := by
lift m to ℕ using hm
lift n to ℕ using hn
rfl
#align enat.to_nat_add ENat.toNat_add
| Mathlib/Data/ENat/Basic.lean | 217 | 221 | theorem toNat_sub {n : ℕ∞} (hn : n ≠ ⊤) (m : ℕ∞) : toNat (m - n) = toNat m - toNat n := by |
lift n to ℕ using hn
induction m
· rw [top_sub_coe, toNat_top, zero_tsub]
· rw [← coe_sub, toNat_coe, toNat_coe, toNat_coe]
|
import Mathlib.Data.Fintype.Card
import Mathlib.Computability.Language
import Mathlib.Tactic.NormNum
#align_import computability.DFA from "leanprover-community/mathlib"@"32253a1a1071173b33dc7d6a218cf722c6feb514"
open Computability
universe u v
-- Porting note: Required as `DFA` is used in mathlib3
set_option linter.uppercaseLean3 false
structure DFA (α : Type u) (σ : Type v) where
step : σ → α → σ
start : σ
accept : Set σ
#align DFA DFA
namespace DFA
variable {α : Type u} {σ : Type v} (M : DFA α σ)
instance [Inhabited σ] : Inhabited (DFA α σ) :=
⟨DFA.mk (fun _ _ => default) default ∅⟩
def evalFrom (start : σ) : List α → σ :=
List.foldl M.step start
#align DFA.eval_from DFA.evalFrom
@[simp]
theorem evalFrom_nil (s : σ) : M.evalFrom s [] = s :=
rfl
#align DFA.eval_from_nil DFA.evalFrom_nil
@[simp]
theorem evalFrom_singleton (s : σ) (a : α) : M.evalFrom s [a] = M.step s a :=
rfl
#align DFA.eval_from_singleton DFA.evalFrom_singleton
@[simp]
theorem evalFrom_append_singleton (s : σ) (x : List α) (a : α) :
M.evalFrom s (x ++ [a]) = M.step (M.evalFrom s x) a := by
simp only [evalFrom, List.foldl_append, List.foldl_cons, List.foldl_nil]
#align DFA.eval_from_append_singleton DFA.evalFrom_append_singleton
def eval : List α → σ :=
M.evalFrom M.start
#align DFA.eval DFA.eval
@[simp]
theorem eval_nil : M.eval [] = M.start :=
rfl
#align DFA.eval_nil DFA.eval_nil
@[simp]
theorem eval_singleton (a : α) : M.eval [a] = M.step M.start a :=
rfl
#align DFA.eval_singleton DFA.eval_singleton
@[simp]
theorem eval_append_singleton (x : List α) (a : α) : M.eval (x ++ [a]) = M.step (M.eval x) a :=
evalFrom_append_singleton _ _ _ _
#align DFA.eval_append_singleton DFA.eval_append_singleton
theorem evalFrom_of_append (start : σ) (x y : List α) :
M.evalFrom start (x ++ y) = M.evalFrom (M.evalFrom start x) y :=
x.foldl_append _ _ y
#align DFA.eval_from_of_append DFA.evalFrom_of_append
def accepts : Language α := {x | M.eval x ∈ M.accept}
#align DFA.accepts DFA.accepts
theorem mem_accepts (x : List α) : x ∈ M.accepts ↔ M.evalFrom M.start x ∈ M.accept := by rfl
#align DFA.mem_accepts DFA.mem_accepts
theorem evalFrom_split [Fintype σ] {x : List α} {s t : σ} (hlen : Fintype.card σ ≤ x.length)
(hx : M.evalFrom s x = t) :
∃ q a b c,
x = a ++ b ++ c ∧
a.length + b.length ≤ Fintype.card σ ∧
b ≠ [] ∧ M.evalFrom s a = q ∧ M.evalFrom q b = q ∧ M.evalFrom q c = t := by
obtain ⟨n, m, hneq, heq⟩ :=
Fintype.exists_ne_map_eq_of_card_lt
(fun n : Fin (Fintype.card σ + 1) => M.evalFrom s (x.take n)) (by norm_num)
wlog hle : (n : ℕ) ≤ m
· exact this _ hlen hx _ _ hneq.symm heq.symm (le_of_not_le hle)
have hm : (m : ℕ) ≤ Fintype.card σ := Fin.is_le m
refine
⟨M.evalFrom s ((x.take m).take n), (x.take m).take n, (x.take m).drop n,
x.drop m, ?_, ?_, ?_, by rfl, ?_⟩
· rw [List.take_append_drop, List.take_append_drop]
· simp only [List.length_drop, List.length_take]
rw [min_eq_left (hm.trans hlen), min_eq_left hle, add_tsub_cancel_of_le hle]
exact hm
· intro h
have hlen' := congr_arg List.length h
simp only [List.length_drop, List.length, List.length_take] at hlen'
rw [min_eq_left, tsub_eq_zero_iff_le] at hlen'
· apply hneq
apply le_antisymm
assumption'
exact hm.trans hlen
have hq : M.evalFrom (M.evalFrom s ((x.take m).take n)) ((x.take m).drop n) =
M.evalFrom s ((x.take m).take n) := by
rw [List.take_take, min_eq_left hle, ← evalFrom_of_append, heq, ← min_eq_left hle, ←
List.take_take, min_eq_left hle, List.take_append_drop]
use hq
rwa [← hq, ← evalFrom_of_append, ← evalFrom_of_append, ← List.append_assoc,
List.take_append_drop, List.take_append_drop]
#align DFA.eval_from_split DFA.evalFrom_split
theorem evalFrom_of_pow {x y : List α} {s : σ} (hx : M.evalFrom s x = s)
(hy : y ∈ ({x} : Language α)∗) : M.evalFrom s y = s := by
rw [Language.mem_kstar] at hy
rcases hy with ⟨S, rfl, hS⟩
induction' S with a S ih
· rfl
· have ha := hS a (List.mem_cons_self _ _)
rw [Set.mem_singleton_iff] at ha
rw [List.join, evalFrom_of_append, ha, hx]
apply ih
intro z hz
exact hS z (List.mem_cons_of_mem a hz)
#align DFA.eval_from_of_pow DFA.evalFrom_of_pow
| Mathlib/Computability/DFA.lean | 151 | 166 | theorem pumping_lemma [Fintype σ] {x : List α} (hx : x ∈ M.accepts)
(hlen : Fintype.card σ ≤ List.length x) :
∃ a b c,
x = a ++ b ++ c ∧
a.length + b.length ≤ Fintype.card σ ∧ b ≠ [] ∧ {a} * {b}∗ * {c} ≤ M.accepts := by |
obtain ⟨_, a, b, c, hx, hlen, hnil, rfl, hb, hc⟩ := M.evalFrom_split (s := M.start) hlen rfl
use a, b, c, hx, hlen, hnil
intro y hy
rw [Language.mem_mul] at hy
rcases hy with ⟨ab, hab, c', hc', rfl⟩
rw [Language.mem_mul] at hab
rcases hab with ⟨a', ha', b', hb', rfl⟩
rw [Set.mem_singleton_iff] at ha' hc'
substs ha' hc'
have h := M.evalFrom_of_pow hb hb'
rwa [mem_accepts, evalFrom_of_append, evalFrom_of_append, h, hc]
|
import Mathlib.MeasureTheory.Integral.Lebesgue
#align_import measure_theory.measure.giry_monad from "leanprover-community/mathlib"@"56f4cd1ef396e9fd389b5d8371ee9ad91d163625"
noncomputable section
open scoped Classical
open ENNReal
open scoped Classical
open Set Filter
variable {α β : Type*}
namespace MeasureTheory
namespace Measure
variable [MeasurableSpace α] [MeasurableSpace β]
instance instMeasurableSpace : MeasurableSpace (Measure α) :=
⨆ (s : Set α) (_ : MeasurableSet s), (borel ℝ≥0∞).comap fun μ => μ s
#align measure_theory.measure.measurable_space MeasureTheory.Measure.instMeasurableSpace
theorem measurable_coe {s : Set α} (hs : MeasurableSet s) : Measurable fun μ : Measure α => μ s :=
Measurable.of_comap_le <| le_iSup_of_le s <| le_iSup_of_le hs <| le_rfl
#align measure_theory.measure.measurable_coe MeasureTheory.Measure.measurable_coe
theorem measurable_of_measurable_coe (f : β → Measure α)
(h : ∀ (s : Set α), MeasurableSet s → Measurable fun b => f b s) : Measurable f :=
Measurable.of_le_map <|
iSup₂_le fun s hs =>
MeasurableSpace.comap_le_iff_le_map.2 <| by rw [MeasurableSpace.map_comp]; exact h s hs
#align measure_theory.measure.measurable_of_measurable_coe MeasureTheory.Measure.measurable_of_measurable_coe
instance instMeasurableAdd₂ {α : Type*} {m : MeasurableSpace α} : MeasurableAdd₂ (Measure α) := by
refine ⟨Measure.measurable_of_measurable_coe _ fun s hs => ?_⟩
simp_rw [Measure.coe_add, Pi.add_apply]
refine Measurable.add ?_ ?_
· exact (Measure.measurable_coe hs).comp measurable_fst
· exact (Measure.measurable_coe hs).comp measurable_snd
#align measure_theory.measure.has_measurable_add₂ MeasureTheory.Measure.instMeasurableAdd₂
theorem measurable_measure {μ : α → Measure β} :
Measurable μ ↔ ∀ (s : Set β), MeasurableSet s → Measurable fun b => μ b s :=
⟨fun hμ _s hs => (measurable_coe hs).comp hμ, measurable_of_measurable_coe μ⟩
#align measure_theory.measure.measurable_measure MeasureTheory.Measure.measurable_measure
| Mathlib/MeasureTheory/Measure/GiryMonad.lean | 78 | 82 | theorem measurable_map (f : α → β) (hf : Measurable f) :
Measurable fun μ : Measure α => map f μ := by |
refine measurable_of_measurable_coe _ fun s hs => ?_
simp_rw [map_apply hf hs]
exact measurable_coe (hf hs)
|
import Mathlib.Algebra.Algebra.RestrictScalars
import Mathlib.Analysis.NormedSpace.OperatorNorm.Basic
import Mathlib.Analysis.RCLike.Basic
#align_import analysis.normed_space.extend from "leanprover-community/mathlib"@"3f655f5297b030a87d641ad4e825af8d9679eb0b"
open RCLike
open ComplexConjugate
variable {𝕜 : Type*} [RCLike 𝕜] {F : Type*} [SeminormedAddCommGroup F] [NormedSpace 𝕜 F]
namespace LinearMap
variable [Module ℝ F] [IsScalarTower ℝ 𝕜 F]
noncomputable def extendTo𝕜' (fr : F →ₗ[ℝ] ℝ) : F →ₗ[𝕜] 𝕜 := by
let fc : F → 𝕜 := fun x => (fr x : 𝕜) - (I : 𝕜) * fr ((I : 𝕜) • x)
have add : ∀ x y : F, fc (x + y) = fc x + fc y := by
intro x y
simp only [fc, smul_add, LinearMap.map_add, ofReal_add]
rw [mul_add]
abel
have A : ∀ (c : ℝ) (x : F), (fr ((c : 𝕜) • x) : 𝕜) = (c : 𝕜) * (fr x : 𝕜) := by
intro c x
rw [← ofReal_mul]
congr 1
rw [RCLike.ofReal_alg, smul_assoc, fr.map_smul, Algebra.id.smul_eq_mul, one_smul]
have smul_ℝ : ∀ (c : ℝ) (x : F), fc ((c : 𝕜) • x) = (c : 𝕜) * fc x := by
intro c x
dsimp only [fc]
rw [A c x, smul_smul, mul_comm I (c : 𝕜), ← smul_smul, A, mul_sub]
ring
have smul_I : ∀ x : F, fc ((I : 𝕜) • x) = (I : 𝕜) * fc x := by
intro x
dsimp only [fc]
cases' @I_mul_I_ax 𝕜 _ with h h
· simp [h]
rw [mul_sub, ← mul_assoc, smul_smul, h]
simp only [neg_mul, LinearMap.map_neg, one_mul, one_smul, mul_neg, ofReal_neg, neg_smul,
sub_neg_eq_add, add_comm]
have smul_𝕜 : ∀ (c : 𝕜) (x : F), fc (c • x) = c • fc x := by
intro c x
rw [← re_add_im c, add_smul, add_smul, add, smul_ℝ, ← smul_smul, smul_ℝ, smul_I, ← mul_assoc]
rfl
exact
{ toFun := fc
map_add' := add
map_smul' := smul_𝕜 }
#align linear_map.extend_to_𝕜' LinearMap.extendTo𝕜'
theorem extendTo𝕜'_apply (fr : F →ₗ[ℝ] ℝ) (x : F) :
fr.extendTo𝕜' x = (fr x : 𝕜) - (I : 𝕜) * (fr ((I : 𝕜) • x) : 𝕜) := rfl
#align linear_map.extend_to_𝕜'_apply LinearMap.extendTo𝕜'_apply
@[simp]
| Mathlib/Analysis/NormedSpace/Extend.lean | 88 | 90 | theorem extendTo𝕜'_apply_re (fr : F →ₗ[ℝ] ℝ) (x : F) : re (fr.extendTo𝕜' x : 𝕜) = fr x := by |
simp only [extendTo𝕜'_apply, map_sub, zero_mul, mul_zero, sub_zero,
rclike_simps]
|
import Mathlib.LinearAlgebra.QuadraticForm.TensorProduct
import Mathlib.LinearAlgebra.QuadraticForm.IsometryEquiv
suppress_compilation
universe uR uM₁ uM₂ uM₃ uM₄
variable {R : Type uR} {M₁ : Type uM₁} {M₂ : Type uM₂} {M₃ : Type uM₃} {M₄ : Type uM₄}
open scoped TensorProduct
namespace QuadraticForm
variable [CommRing R]
variable [AddCommGroup M₁] [AddCommGroup M₂] [AddCommGroup M₃] [AddCommGroup M₄]
variable [Module R M₁] [Module R M₂] [Module R M₃] [Module R M₄] [Invertible (2 : R)]
@[simp]
| Mathlib/LinearAlgebra/QuadraticForm/TensorProduct/Isometries.lean | 37 | 46 | theorem tmul_comp_tensorMap
{Q₁ : QuadraticForm R M₁} {Q₂ : QuadraticForm R M₂}
{Q₃ : QuadraticForm R M₃} {Q₄ : QuadraticForm R M₄}
(f : Q₁ →qᵢ Q₂) (g : Q₃ →qᵢ Q₄) :
(Q₂.tmul Q₄).comp (TensorProduct.map f.toLinearMap g.toLinearMap) = Q₁.tmul Q₃ := by |
have h₁ : Q₁ = Q₂.comp f.toLinearMap := QuadraticForm.ext fun x => (f.map_app x).symm
have h₃ : Q₃ = Q₄.comp g.toLinearMap := QuadraticForm.ext fun x => (g.map_app x).symm
refine (QuadraticForm.associated_rightInverse R).injective ?_
ext m₁ m₃ m₁' m₃'
simp [-associated_apply, h₁, h₃, associated_tmul]
|
import Mathlib.Topology.Order.LeftRight
import Mathlib.Topology.Order.Monotone
#align_import topology.algebra.order.left_right_lim from "leanprover-community/mathlib"@"0a0ec35061ed9960bf0e7ffb0335f44447b58977"
open Set Filter
open Topology
section
variable {α β : Type*} [LinearOrder α] [TopologicalSpace β]
noncomputable def Function.leftLim (f : α → β) (a : α) : β := by
classical
haveI : Nonempty β := ⟨f a⟩
letI : TopologicalSpace α := Preorder.topology α
exact if 𝓝[<] a = ⊥ ∨ ¬∃ y, Tendsto f (𝓝[<] a) (𝓝 y) then f a else limUnder (𝓝[<] a) f
#align function.left_lim Function.leftLim
noncomputable def Function.rightLim (f : α → β) (a : α) : β :=
@Function.leftLim αᵒᵈ β _ _ f a
#align function.right_lim Function.rightLim
open Function
theorem leftLim_eq_of_tendsto [hα : TopologicalSpace α] [h'α : OrderTopology α] [T2Space β]
{f : α → β} {a : α} {y : β} (h : 𝓝[<] a ≠ ⊥) (h' : Tendsto f (𝓝[<] a) (𝓝 y)) :
leftLim f a = y := by
have h'' : ∃ y, Tendsto f (𝓝[<] a) (𝓝 y) := ⟨y, h'⟩
rw [h'α.topology_eq_generate_intervals] at h h' h''
simp only [leftLim, h, h'', not_true, or_self_iff, if_false]
haveI := neBot_iff.2 h
exact lim_eq h'
#align left_lim_eq_of_tendsto leftLim_eq_of_tendsto
theorem leftLim_eq_of_eq_bot [hα : TopologicalSpace α] [h'α : OrderTopology α] (f : α → β) {a : α}
(h : 𝓝[<] a = ⊥) : leftLim f a = f a := by
rw [h'α.topology_eq_generate_intervals] at h
simp [leftLim, ite_eq_left_iff, h]
#align left_lim_eq_of_eq_bot leftLim_eq_of_eq_bot
theorem rightLim_eq_of_tendsto [TopologicalSpace α] [OrderTopology α] [T2Space β]
{f : α → β} {a : α} {y : β} (h : 𝓝[>] a ≠ ⊥) (h' : Tendsto f (𝓝[>] a) (𝓝 y)) :
Function.rightLim f a = y :=
@leftLim_eq_of_tendsto αᵒᵈ _ _ _ _ _ _ f a y h h'
#align right_lim_eq_of_tendsto rightLim_eq_of_tendsto
theorem rightLim_eq_of_eq_bot [TopologicalSpace α] [OrderTopology α] (f : α → β) {a : α}
(h : 𝓝[>] a = ⊥) : rightLim f a = f a :=
@leftLim_eq_of_eq_bot αᵒᵈ _ _ _ _ _ f a h
end
open Function
namespace Monotone
variable {α β : Type*} [LinearOrder α] [ConditionallyCompleteLinearOrder β] [TopologicalSpace β]
[OrderTopology β] {f : α → β} (hf : Monotone f) {x y : α}
theorem leftLim_eq_sSup [TopologicalSpace α] [OrderTopology α] (h : 𝓝[<] x ≠ ⊥) :
leftLim f x = sSup (f '' Iio x) :=
leftLim_eq_of_tendsto h (hf.tendsto_nhdsWithin_Iio x)
#align monotone.left_lim_eq_Sup Monotone.leftLim_eq_sSup
theorem rightLim_eq_sInf [TopologicalSpace α] [OrderTopology α] (h : 𝓝[>] x ≠ ⊥) :
rightLim f x = sInf (f '' Ioi x) :=
rightLim_eq_of_tendsto h (hf.tendsto_nhdsWithin_Ioi x)
#align right_lim_eq_Inf Monotone.rightLim_eq_sInf
theorem leftLim_le (h : x ≤ y) : leftLim f x ≤ f y := by
letI : TopologicalSpace α := Preorder.topology α
haveI : OrderTopology α := ⟨rfl⟩
rcases eq_or_ne (𝓝[<] x) ⊥ with (h' | h')
· simpa [leftLim, h'] using hf h
haveI A : NeBot (𝓝[<] x) := neBot_iff.2 h'
rw [leftLim_eq_sSup hf h']
refine csSup_le ?_ ?_
· simp only [image_nonempty]
exact (forall_mem_nonempty_iff_neBot.2 A) _ self_mem_nhdsWithin
· simp only [mem_image, mem_Iio, forall_exists_index, and_imp, forall_apply_eq_imp_iff₂]
intro z hz
exact hf (hz.le.trans h)
#align monotone.left_lim_le Monotone.leftLim_le
theorem le_leftLim (h : x < y) : f x ≤ leftLim f y := by
letI : TopologicalSpace α := Preorder.topology α
haveI : OrderTopology α := ⟨rfl⟩
rcases eq_or_ne (𝓝[<] y) ⊥ with (h' | h')
· rw [leftLim_eq_of_eq_bot _ h']
exact hf h.le
rw [leftLim_eq_sSup hf h']
refine le_csSup ⟨f y, ?_⟩ (mem_image_of_mem _ h)
simp only [upperBounds, mem_image, mem_Iio, forall_exists_index, and_imp,
forall_apply_eq_imp_iff₂, mem_setOf_eq]
intro z hz
exact hf hz.le
#align monotone.le_left_lim Monotone.le_leftLim
@[mono]
protected theorem leftLim : Monotone (leftLim f) := by
intro x y h
rcases eq_or_lt_of_le h with (rfl | hxy)
· exact le_rfl
· exact (hf.leftLim_le le_rfl).trans (hf.le_leftLim hxy)
#align monotone.left_lim Monotone.leftLim
theorem le_rightLim (h : x ≤ y) : f x ≤ rightLim f y :=
hf.dual.leftLim_le h
#align monotone.le_right_lim Monotone.le_rightLim
theorem rightLim_le (h : x < y) : rightLim f x ≤ f y :=
hf.dual.le_leftLim h
#align monotone.right_lim_le Monotone.rightLim_le
@[mono]
protected theorem rightLim : Monotone (rightLim f) := fun _ _ h => hf.dual.leftLim h
#align monotone.right_lim Monotone.rightLim
theorem leftLim_le_rightLim (h : x ≤ y) : leftLim f x ≤ rightLim f y :=
(hf.leftLim_le le_rfl).trans (hf.le_rightLim h)
#align monotone.left_lim_le_right_lim Monotone.leftLim_le_rightLim
theorem rightLim_le_leftLim (h : x < y) : rightLim f x ≤ leftLim f y := by
letI : TopologicalSpace α := Preorder.topology α
haveI : OrderTopology α := ⟨rfl⟩
rcases eq_or_ne (𝓝[<] y) ⊥ with (h' | h')
· simp [leftLim, h']
exact rightLim_le hf h
obtain ⟨a, ⟨xa, ay⟩⟩ : (Ioo x y).Nonempty :=
forall_mem_nonempty_iff_neBot.2 (neBot_iff.2 h') (Ioo x y)
(Ioo_mem_nhdsWithin_Iio ⟨h, le_refl _⟩)
calc
rightLim f x ≤ f a := hf.rightLim_le xa
_ ≤ leftLim f y := hf.le_leftLim ay
#align monotone.right_lim_le_left_lim Monotone.rightLim_le_leftLim
variable [TopologicalSpace α] [OrderTopology α]
theorem tendsto_leftLim (x : α) : Tendsto f (𝓝[<] x) (𝓝 (leftLim f x)) := by
rcases eq_or_ne (𝓝[<] x) ⊥ with (h' | h')
· simp [h']
rw [leftLim_eq_sSup hf h']
exact hf.tendsto_nhdsWithin_Iio x
#align monotone.tendsto_left_lim Monotone.tendsto_leftLim
| Mathlib/Topology/Order/LeftRightLim.lean | 186 | 188 | theorem tendsto_leftLim_within (x : α) : Tendsto f (𝓝[<] x) (𝓝[≤] leftLim f x) := by |
apply tendsto_nhdsWithin_of_tendsto_nhds_of_eventually_within f (hf.tendsto_leftLim x)
filter_upwards [@self_mem_nhdsWithin _ _ x (Iio x)] with y hy using hf.le_leftLim hy
|
import Mathlib.RingTheory.FiniteType
import Mathlib.RingTheory.Localization.AtPrime
import Mathlib.RingTheory.Localization.Away.Basic
import Mathlib.RingTheory.Localization.Integer
import Mathlib.RingTheory.Localization.Submodule
import Mathlib.RingTheory.Nilpotent.Lemmas
import Mathlib.RingTheory.RingHomProperties
import Mathlib.Data.Set.Subsingleton
#align_import ring_theory.local_properties from "leanprover-community/mathlib"@"a7c017d750512a352b623b1824d75da5998457d0"
open scoped Pointwise Classical
universe u
variable {R S : Type u} [CommRing R] [CommRing S] (M : Submonoid R)
variable (N : Submonoid S) (R' S' : Type u) [CommRing R'] [CommRing S'] (f : R →+* S)
variable [Algebra R R'] [Algebra S S']
section Properties
section RingHom
variable (P : ∀ {R S : Type u} [CommRing R] [CommRing S] (_ : R →+* S), Prop)
def RingHom.LocalizationPreserves :=
∀ ⦃R S : Type u⦄ [CommRing R] [CommRing S] (f : R →+* S) (M : Submonoid R) (R' S' : Type u)
[CommRing R'] [CommRing S'] [Algebra R R'] [Algebra S S'] [IsLocalization M R']
[IsLocalization (M.map f) S'],
P f → P (IsLocalization.map S' f (Submonoid.le_comap_map M) : R' →+* S')
#align ring_hom.localization_preserves RingHom.LocalizationPreserves
def RingHom.OfLocalizationFiniteSpan :=
∀ ⦃R S : Type u⦄ [CommRing R] [CommRing S] (f : R →+* S) (s : Finset R)
(_ : Ideal.span (s : Set R) = ⊤) (_ : ∀ r : s, P (Localization.awayMap f r)), P f
#align ring_hom.of_localization_finite_span RingHom.OfLocalizationFiniteSpan
def RingHom.OfLocalizationSpan :=
∀ ⦃R S : Type u⦄ [CommRing R] [CommRing S] (f : R →+* S) (s : Set R) (_ : Ideal.span s = ⊤)
(_ : ∀ r : s, P (Localization.awayMap f r)), P f
#align ring_hom.of_localization_span RingHom.OfLocalizationSpan
def RingHom.HoldsForLocalizationAway : Prop :=
∀ ⦃R : Type u⦄ (S : Type u) [CommRing R] [CommRing S] [Algebra R S] (r : R)
[IsLocalization.Away r S], P (algebraMap R S)
#align ring_hom.holds_for_localization_away RingHom.HoldsForLocalizationAway
def RingHom.OfLocalizationFiniteSpanTarget : Prop :=
∀ ⦃R S : Type u⦄ [CommRing R] [CommRing S] (f : R →+* S) (s : Finset S)
(_ : Ideal.span (s : Set S) = ⊤)
(_ : ∀ r : s, P ((algebraMap S (Localization.Away (r : S))).comp f)), P f
#align ring_hom.of_localization_finite_span_target RingHom.OfLocalizationFiniteSpanTarget
def RingHom.OfLocalizationSpanTarget : Prop :=
∀ ⦃R S : Type u⦄ [CommRing R] [CommRing S] (f : R →+* S) (s : Set S) (_ : Ideal.span s = ⊤)
(_ : ∀ r : s, P ((algebraMap S (Localization.Away (r : S))).comp f)), P f
#align ring_hom.of_localization_span_target RingHom.OfLocalizationSpanTarget
def RingHom.OfLocalizationPrime : Prop :=
∀ ⦃R S : Type u⦄ [CommRing R] [CommRing S] (f : R →+* S),
(∀ (J : Ideal S) (_ : J.IsPrime), P (Localization.localRingHom _ J f rfl)) → P f
#align ring_hom.of_localization_prime RingHom.OfLocalizationPrime
structure RingHom.PropertyIsLocal : Prop where
LocalizationPreserves : RingHom.LocalizationPreserves @P
OfLocalizationSpanTarget : RingHom.OfLocalizationSpanTarget @P
StableUnderComposition : RingHom.StableUnderComposition @P
HoldsForLocalizationAway : RingHom.HoldsForLocalizationAway @P
#align ring_hom.property_is_local RingHom.PropertyIsLocal
theorem RingHom.ofLocalizationSpan_iff_finite :
RingHom.OfLocalizationSpan @P ↔ RingHom.OfLocalizationFiniteSpan @P := by
delta RingHom.OfLocalizationSpan RingHom.OfLocalizationFiniteSpan
apply forall₅_congr
-- TODO: Using `refine` here breaks `resetI`.
intros
constructor
· intro h s; exact h s
· intro h s hs hs'
obtain ⟨s', h₁, h₂⟩ := (Ideal.span_eq_top_iff_finite s).mp hs
exact h s' h₂ fun x => hs' ⟨_, h₁ x.prop⟩
#align ring_hom.of_localization_span_iff_finite RingHom.ofLocalizationSpan_iff_finite
theorem RingHom.ofLocalizationSpanTarget_iff_finite :
RingHom.OfLocalizationSpanTarget @P ↔ RingHom.OfLocalizationFiniteSpanTarget @P := by
delta RingHom.OfLocalizationSpanTarget RingHom.OfLocalizationFiniteSpanTarget
apply forall₅_congr
-- TODO: Using `refine` here breaks `resetI`.
intros
constructor
· intro h s; exact h s
· intro h s hs hs'
obtain ⟨s', h₁, h₂⟩ := (Ideal.span_eq_top_iff_finite s).mp hs
exact h s' h₂ fun x => hs' ⟨_, h₁ x.prop⟩
#align ring_hom.of_localization_span_target_iff_finite RingHom.ofLocalizationSpanTarget_iff_finite
variable {P f R' S'}
theorem RingHom.PropertyIsLocal.respectsIso (hP : RingHom.PropertyIsLocal @P) :
RingHom.RespectsIso @P := by
apply hP.StableUnderComposition.respectsIso
introv
letI := e.toRingHom.toAlgebra
-- Porting note: was `apply_with hP.holds_for_localization_away { instances := ff }`
have : IsLocalization.Away (1 : R) S := by
apply IsLocalization.away_of_isUnit_of_bijective _ isUnit_one e.bijective
exact RingHom.PropertyIsLocal.HoldsForLocalizationAway hP S (1 : R)
#align ring_hom.property_is_local.respects_iso RingHom.PropertyIsLocal.respectsIso
-- Almost all arguments are implicit since this is not intended to use mid-proof.
theorem RingHom.LocalizationPreserves.away (H : RingHom.LocalizationPreserves @P) (r : R)
[IsLocalization.Away r R'] [IsLocalization.Away (f r) S'] (hf : P f) :
P (IsLocalization.Away.map R' S' f r) := by
have : IsLocalization ((Submonoid.powers r).map f) S' := by rw [Submonoid.map_powers]; assumption
exact H f (Submonoid.powers r) R' S' hf
#align ring_hom.localization_preserves.away RingHom.LocalizationPreserves.away
| Mathlib/RingTheory/LocalProperties.lean | 200 | 209 | theorem RingHom.PropertyIsLocal.ofLocalizationSpan (hP : RingHom.PropertyIsLocal @P) :
RingHom.OfLocalizationSpan @P := by |
introv R hs hs'
apply_fun Ideal.map f at hs
rw [Ideal.map_span, Ideal.map_top] at hs
apply hP.OfLocalizationSpanTarget _ _ hs
rintro ⟨_, r, hr, rfl⟩
convert hP.StableUnderComposition
_ _ (hP.HoldsForLocalizationAway (Localization.Away r) r) (hs' ⟨r, hr⟩) using 1
exact (IsLocalization.map_comp _).symm
|
import Batteries.Data.RBMap.Basic
import Batteries.Tactic.SeqFocus
namespace Batteries
namespace RBNode
open RBColor
attribute [simp] All
theorem All.trivial (H : ∀ {x : α}, p x) : ∀ {t : RBNode α}, t.All p
| nil => _root_.trivial
| node .. => ⟨H, All.trivial H, All.trivial H⟩
theorem All_and {t : RBNode α} : t.All (fun a => p a ∧ q a) ↔ t.All p ∧ t.All q := by
induction t <;> simp [*, and_assoc, and_left_comm]
protected theorem cmpLT.flip (h₁ : cmpLT cmp x y) : cmpLT (flip cmp) y x :=
⟨have : TransCmp cmp := inferInstanceAs (TransCmp (flip (flip cmp))); h₁.1⟩
theorem cmpLT.trans (h₁ : cmpLT cmp x y) (h₂ : cmpLT cmp y z) : cmpLT cmp x z :=
⟨TransCmp.lt_trans h₁.1 h₂.1⟩
theorem cmpLT.trans_l {cmp x y} (H : cmpLT cmp x y) {t : RBNode α}
(h : t.All (cmpLT cmp y ·)) : t.All (cmpLT cmp x ·) := h.imp fun h => H.trans h
theorem cmpLT.trans_r {cmp x y} (H : cmpLT cmp x y) {a : RBNode α}
(h : a.All (cmpLT cmp · x)) : a.All (cmpLT cmp · y) := h.imp fun h => h.trans H
theorem cmpEq.lt_congr_left (H : cmpEq cmp x y) : cmpLT cmp x z ↔ cmpLT cmp y z :=
⟨fun ⟨h⟩ => ⟨TransCmp.cmp_congr_left H.1 ▸ h⟩, fun ⟨h⟩ => ⟨TransCmp.cmp_congr_left H.1 ▸ h⟩⟩
theorem cmpEq.lt_congr_right (H : cmpEq cmp y z) : cmpLT cmp x y ↔ cmpLT cmp x z :=
⟨fun ⟨h⟩ => ⟨TransCmp.cmp_congr_right H.1 ▸ h⟩, fun ⟨h⟩ => ⟨TransCmp.cmp_congr_right H.1 ▸ h⟩⟩
@[simp] theorem reverse_reverse (t : RBNode α) : t.reverse.reverse = t := by
induction t <;> simp [*]
theorem reverse_eq_iff {t t' : RBNode α} : t.reverse = t' ↔ t = t'.reverse := by
constructor <;> rintro rfl <;> simp
@[simp] theorem reverse_balance1 (l : RBNode α) (v : α) (r : RBNode α) :
(balance1 l v r).reverse = balance2 r.reverse v l.reverse := by
unfold balance1 balance2; split <;> simp
· rw [balance2.match_1.eq_2]; simp [reverse_eq_iff]; intros; solve_by_elim
· rw [balance2.match_1.eq_3] <;> (simp [reverse_eq_iff]; intros; solve_by_elim)
@[simp] theorem reverse_balance2 (l : RBNode α) (v : α) (r : RBNode α) :
(balance2 l v r).reverse = balance1 r.reverse v l.reverse := by
refine Eq.trans ?_ (reverse_reverse _); rw [reverse_balance1]; simp
@[simp] theorem All.reverse {t : RBNode α} : t.reverse.All p ↔ t.All p := by
induction t <;> simp [*, and_comm]
protected theorem Ordered.reverse : ∀ {t : RBNode α}, t.Ordered cmp → t.reverse.Ordered (flip cmp)
| .nil, _ => ⟨⟩
| .node .., ⟨lv, vr, hl, hr⟩ =>
⟨(All.reverse.2 vr).imp cmpLT.flip, (All.reverse.2 lv).imp cmpLT.flip, hr.reverse, hl.reverse⟩
protected theorem Balanced.reverse {t : RBNode α} : t.Balanced c n → t.reverse.Balanced c n
| .nil => .nil
| .black hl hr => .black hr.reverse hl.reverse
| .red hl hr => .red hr.reverse hl.reverse
protected theorem Ordered.balance1 {l : RBNode α} {v : α} {r : RBNode α}
(lv : l.All (cmpLT cmp · v)) (vr : r.All (cmpLT cmp v ·))
(hl : l.Ordered cmp) (hr : r.Ordered cmp) : (balance1 l v r).Ordered cmp := by
unfold balance1; split
· next a x b y c =>
have ⟨yv, _, cv⟩ := lv; have ⟨xy, yc, hx, hc⟩ := hl
exact ⟨xy, ⟨yv, yc, yv.trans_l vr⟩, hx, cv, vr, hc, hr⟩
· next a x b y c _ =>
have ⟨_, _, yv, _, cv⟩ := lv; have ⟨ax, ⟨xy, xb, _⟩, ha, by_, yc, hb, hc⟩ := hl
exact ⟨⟨xy, xy.trans_r ax, by_⟩, ⟨yv, yc, yv.trans_l vr⟩, ⟨ax, xb, ha, hb⟩, cv, vr, hc, hr⟩
· exact ⟨lv, vr, hl, hr⟩
@[simp] theorem balance1_All {l : RBNode α} {v : α} {r : RBNode α} :
(balance1 l v r).All p ↔ p v ∧ l.All p ∧ r.All p := by
unfold balance1; split <;> simp [and_assoc, and_left_comm]
protected theorem Ordered.balance2 {l : RBNode α} {v : α} {r : RBNode α}
(lv : l.All (cmpLT cmp · v)) (vr : r.All (cmpLT cmp v ·))
(hl : l.Ordered cmp) (hr : r.Ordered cmp) : (balance2 l v r).Ordered cmp := by
rw [← reverse_reverse (balance2 ..), reverse_balance2]
exact .reverse <| hr.reverse.balance1
((All.reverse.2 vr).imp cmpLT.flip) ((All.reverse.2 lv).imp cmpLT.flip) hl.reverse
@[simp] theorem balance2_All {l : RBNode α} {v : α} {r : RBNode α} :
(balance2 l v r).All p ↔ p v ∧ l.All p ∧ r.All p := by
unfold balance2; split <;> simp [and_assoc, and_left_comm]
@[simp] theorem reverse_setBlack {t : RBNode α} : (setBlack t).reverse = setBlack t.reverse := by
unfold setBlack; split <;> simp
protected theorem Ordered.setBlack {t : RBNode α} : (setBlack t).Ordered cmp ↔ t.Ordered cmp := by
unfold setBlack; split <;> simp [Ordered]
protected theorem Balanced.setBlack : t.Balanced c n → ∃ n', (setBlack t).Balanced black n'
| .nil => ⟨_, .nil⟩
| .black hl hr | .red hl hr => ⟨_, hl.black hr⟩
theorem setBlack_idem {t : RBNode α} : t.setBlack.setBlack = t.setBlack := by cases t <;> rfl
@[simp] theorem reverse_ins [inst : @OrientedCmp α cmp] {t : RBNode α} :
(ins cmp x t).reverse = ins (flip cmp) x t.reverse := by
induction t <;> [skip; (rename_i c a y b iha ihb; cases c)] <;> simp [ins, flip]
<;> rw [← inst.symm x y] <;> split <;> simp [*, Ordering.swap, iha, ihb]
protected theorem All.ins {x : α} {t : RBNode α}
(h₁ : p x) (h₂ : t.All p) : (ins cmp x t).All p := by
induction t <;> unfold ins <;> try simp [*]
split <;> cases ‹_=_› <;> split <;> simp at h₂ <;> simp [*]
protected theorem Ordered.ins : ∀ {t : RBNode α}, t.Ordered cmp → (ins cmp x t).Ordered cmp
| nil, _ => ⟨⟨⟩, ⟨⟩, ⟨⟩, ⟨⟩⟩
| node red a y b, ⟨ay, yb, ha, hb⟩ => by
unfold ins; split
· next h => exact ⟨ay.ins ⟨h⟩, yb, ha.ins, hb⟩
· next h => exact ⟨ay, yb.ins ⟨OrientedCmp.cmp_eq_gt.1 h⟩, ha, hb.ins⟩
· next h => exact (⟨
ay.imp fun ⟨h'⟩ => ⟨(TransCmp.cmp_congr_right h).trans h'⟩,
yb.imp fun ⟨h'⟩ => ⟨(TransCmp.cmp_congr_left h).trans h'⟩, ha, hb⟩)
| node black a y b, ⟨ay, yb, ha, hb⟩ => by
unfold ins; split
· next h => exact ha.ins.balance1 (ay.ins ⟨h⟩) yb hb
· next h => exact ha.balance2 ay (yb.ins ⟨OrientedCmp.cmp_eq_gt.1 h⟩) hb.ins
· next h => exact (⟨
ay.imp fun ⟨h'⟩ => ⟨(TransCmp.cmp_congr_right h).trans h'⟩,
yb.imp fun ⟨h'⟩ => ⟨(TransCmp.cmp_congr_left h).trans h'⟩, ha, hb⟩)
@[simp] theorem isRed_reverse {t : RBNode α} : t.reverse.isRed = t.isRed := by
cases t <;> simp [isRed]
@[simp] theorem reverse_insert [inst : @OrientedCmp α cmp] {t : RBNode α} :
(insert cmp t x).reverse = insert (flip cmp) t.reverse x := by
simp [insert] <;> split <;> simp
theorem insert_setBlack {t : RBNode α} :
(t.insert cmp v).setBlack = (t.ins cmp v).setBlack := by
unfold insert; split <;> simp [setBlack_idem]
protected theorem Ordered.insert (h : t.Ordered cmp) : (insert cmp t v).Ordered cmp := by
unfold RBNode.insert; split <;> simp [Ordered.setBlack, h.ins (x := v)]
inductive RedRed (p : Prop) : RBNode α → Nat → Prop where
| balanced : Balanced t c n → RedRed p t n
| redred : p → Balanced a c₁ n → Balanced b c₂ n → RedRed p (node red a x b) n
protected theorem RedRed.of_false (h : ¬p) : RedRed p t n → ∃ c, Balanced t c n
| .balanced h => ⟨_, h⟩
| .redred hp .. => nomatch h hp
protected theorem RedRed.of_red : RedRed p (node red a x b) n →
∃ c₁ c₂, Balanced a c₁ n ∧ Balanced b c₂ n
| .balanced (.red ha hb) | .redred _ ha hb => ⟨_, _, ha, hb⟩
protected theorem RedRed.imp (h : p → q) : RedRed p t n → RedRed q t n
| .balanced h => .balanced h
| .redred hp ha hb => .redred (h hp) ha hb
protected theorem RedRed.reverse : RedRed p t n → RedRed p t.reverse n
| .balanced h => .balanced h.reverse
| .redred hp ha hb => .redred hp hb.reverse ha.reverse
protected theorem RedRed.setBlack : t.RedRed p n → ∃ n', (setBlack t).Balanced black n'
| .balanced h => h.setBlack
| .redred _ hl hr => ⟨_, hl.black hr⟩
protected theorem RedRed.balance1 {l : RBNode α} {v : α} {r : RBNode α}
(hl : l.RedRed p n) (hr : r.Balanced c n) : ∃ c, (balance1 l v r).Balanced c (n + 1) := by
unfold balance1; split
· have .redred _ (.red ha hb) hc := hl; exact ⟨_, .red (.black ha hb) (.black hc hr)⟩
· have .redred _ ha (.red hb hc) := hl; exact ⟨_, .red (.black ha hb) (.black hc hr)⟩
· next H1 H2 => match hl with
| .balanced hl => exact ⟨_, .black hl hr⟩
| .redred _ (c₁ := black) (c₂ := black) ha hb => exact ⟨_, .black (.red ha hb) hr⟩
| .redred _ (c₁ := red) (.red ..) _ => cases H1 _ _ _ _ _ rfl
| .redred _ (c₂ := red) _ (.red ..) => cases H2 _ _ _ _ _ rfl
protected theorem RedRed.balance2 {l : RBNode α} {v : α} {r : RBNode α}
(hl : l.Balanced c n) (hr : r.RedRed p n) : ∃ c, (balance2 l v r).Balanced c (n + 1) :=
(hr.reverse.balance1 hl.reverse (v := v)).imp fun _ h => by simpa using h.reverse
| .lake/packages/batteries/Batteries/Data/RBMap/WF.lean | 218 | 220 | theorem balance1_eq {l : RBNode α} {v : α} {r : RBNode α}
(hl : l.Balanced c n) : balance1 l v r = node black l v r := by |
unfold balance1; split <;> first | rfl | nomatch hl
|
import Mathlib.Analysis.SpecificLimits.Basic
import Mathlib.Order.Interval.Set.IsoIoo
import Mathlib.Topology.Order.MonotoneContinuity
import Mathlib.Topology.UrysohnsBounded
#align_import topology.tietze_extension from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
section TietzeExtensionClass
universe u u₁ u₂ v w
-- TODO: define *absolute retracts* and then prove they satisfy Tietze extension.
-- Then make instances of that instead and remove this class.
class TietzeExtension (Y : Type v) [TopologicalSpace Y] : Prop where
exists_restrict_eq' {X : Type u} [TopologicalSpace X] [NormalSpace X] (s : Set X)
(hs : IsClosed s) (f : C(s, Y)) : ∃ (g : C(X, Y)), g.restrict s = f
variable {X₁ : Type u₁} [TopologicalSpace X₁]
variable {X : Type u} [TopologicalSpace X] [NormalSpace X] {s : Set X} (hs : IsClosed s)
variable {e : X₁ → X} (he : ClosedEmbedding e)
variable {Y : Type v} [TopologicalSpace Y] [TietzeExtension.{u, v} Y]
theorem ContinuousMap.exists_restrict_eq (f : C(s, Y)) : ∃ (g : C(X, Y)), g.restrict s = f :=
TietzeExtension.exists_restrict_eq' s hs f
#align continuous_map.exists_restrict_eq_of_closed ContinuousMap.exists_restrict_eq
| Mathlib/Topology/TietzeExtension.lean | 73 | 77 | theorem ContinuousMap.exists_extension (f : C(X₁, Y)) :
∃ (g : C(X, Y)), g.comp ⟨e, he.continuous⟩ = f := by |
let e' : X₁ ≃ₜ Set.range e := Homeomorph.ofEmbedding _ he.toEmbedding
obtain ⟨g, hg⟩ := (f.comp e'.symm).exists_restrict_eq he.isClosed_range
exact ⟨g, by ext x; simpa using congr($(hg) ⟨e' x, x, rfl⟩)⟩
|
import Mathlib.GroupTheory.Coprod.Basic
import Mathlib.GroupTheory.Complement
open Monoid Coprod Multiplicative Subgroup Function
def HNNExtension.con (G : Type*) [Group G] (A B : Subgroup G) (φ : A ≃* B) :
Con (G ∗ Multiplicative ℤ) :=
conGen (fun x y => ∃ (a : A),
x = inr (ofAdd 1) * inl (a : G) ∧
y = inl (φ a : G) * inr (ofAdd 1))
def HNNExtension (G : Type*) [Group G] (A B : Subgroup G) (φ : A ≃* B) : Type _ :=
(HNNExtension.con G A B φ).Quotient
variable {G : Type*} [Group G] {A B : Subgroup G} {φ : A ≃* B} {H : Type*}
[Group H] {M : Type*} [Monoid M]
instance : Group (HNNExtension G A B φ) := by
delta HNNExtension; infer_instance
namespace HNNExtension
def of : G →* HNNExtension G A B φ :=
(HNNExtension.con G A B φ).mk'.comp inl
def t : HNNExtension G A B φ :=
(HNNExtension.con G A B φ).mk'.comp inr (ofAdd 1)
theorem t_mul_of (a : A) :
t * (of (a : G) : HNNExtension G A B φ) = of (φ a : G) * t :=
(Con.eq _).2 <| ConGen.Rel.of _ _ <| ⟨a, by simp⟩
theorem of_mul_t (b : B) :
(of (b : G) : HNNExtension G A B φ) * t = t * of (φ.symm b : G) := by
rw [t_mul_of]; simp
theorem equiv_eq_conj (a : A) :
(of (φ a : G) : HNNExtension G A B φ) = t * of (a : G) * t⁻¹ := by
rw [t_mul_of]; simp
theorem equiv_symm_eq_conj (b : B) :
(of (φ.symm b : G) : HNNExtension G A B φ) = t⁻¹ * of (b : G) * t := by
rw [mul_assoc, of_mul_t]; simp
theorem inv_t_mul_of (b : B) :
t⁻¹ * (of (b : G) : HNNExtension G A B φ) = of (φ.symm b : G) * t⁻¹ := by
rw [equiv_symm_eq_conj]; simp
theorem of_mul_inv_t (a : A) :
(of (a : G) : HNNExtension G A B φ) * t⁻¹ = t⁻¹ * of (φ a : G) := by
rw [equiv_eq_conj]; simp [mul_assoc]
def lift (f : G →* H) (x : H) (hx : ∀ a : A, x * f ↑a = f (φ a : G) * x) :
HNNExtension G A B φ →* H :=
Con.lift _ (Coprod.lift f (zpowersHom H x)) (Con.conGen_le <| by
rintro _ _ ⟨a, rfl, rfl⟩
simp [hx])
@[simp]
theorem lift_t (f : G →* H) (x : H) (hx : ∀ a : A, x * f ↑a = f (φ a : G) * x) :
lift f x hx t = x := by
delta HNNExtension; simp [lift, t]
@[simp]
theorem lift_of (f : G →* H) (x : H) (hx : ∀ a : A, x * f ↑a = f (φ a : G) * x) (g : G) :
lift f x hx (of g) = f g := by
delta HNNExtension; simp [lift, of]
@[ext high]
theorem hom_ext {f g : HNNExtension G A B φ →* M}
(hg : f.comp of = g.comp of) (ht : f t = g t) : f = g :=
(MonoidHom.cancel_right Con.mk'_surjective).mp <|
Coprod.hom_ext hg (MonoidHom.ext_mint ht)
@[elab_as_elim]
theorem induction_on {motive : HNNExtension G A B φ → Prop}
(x : HNNExtension G A B φ) (of : ∀ g, motive (of g))
(t : motive t) (mul : ∀ x y, motive x → motive y → motive (x * y))
(inv : ∀ x, motive x → motive x⁻¹) : motive x := by
let S : Subgroup (HNNExtension G A B φ) :=
{ carrier := setOf motive
one_mem' := by simpa using of 1
mul_mem' := mul _ _
inv_mem' := inv _ }
let f : HNNExtension G A B φ →* S :=
lift (HNNExtension.of.codRestrict S of)
⟨HNNExtension.t, t⟩ (by intro a; ext; simp [equiv_eq_conj, mul_assoc])
have hf : S.subtype.comp f = MonoidHom.id _ :=
hom_ext (by ext; simp [f]) (by simp [f])
show motive (MonoidHom.id _ x)
rw [← hf]
exact (f x).2
variable (A B φ)
def toSubgroup (u : ℤˣ) : Subgroup G :=
if u = 1 then A else B
@[simp]
theorem toSubgroup_one : toSubgroup A B 1 = A := rfl
@[simp]
theorem toSubgroup_neg_one : toSubgroup A B (-1) = B := rfl
variable {A B}
def toSubgroupEquiv (u : ℤˣ) : toSubgroup A B u ≃* toSubgroup A B (-u) :=
if hu : u = 1 then hu ▸ φ else by
convert φ.symm <;>
cases Int.units_eq_one_or u <;> simp_all
@[simp]
theorem toSubgroupEquiv_one : toSubgroupEquiv φ 1 = φ := rfl
@[simp]
theorem toSubgroupEquiv_neg_one : toSubgroupEquiv φ (-1) = φ.symm := rfl
@[simp]
theorem toSubgroupEquiv_neg_apply (u : ℤˣ) (a : toSubgroup A B u) :
(toSubgroupEquiv φ (-u) (toSubgroupEquiv φ u a) : G) = a := by
rcases Int.units_eq_one_or u with rfl | rfl
· -- This used to be `simp` before leanprover/lean4#2644
simp; erw [MulEquiv.symm_apply_apply]
· simp only [toSubgroup_neg_one, toSubgroupEquiv_neg_one, SetLike.coe_eq_coe]
exact φ.apply_symm_apply a
namespace NormalWord
variable (G A B)
structure TransversalPair : Type _ :=
set : ℤˣ → Set G
compl : ∀ u, IsComplement (toSubgroup A B u : Subgroup G) (set u)
instance TransversalPair.nonempty : Nonempty (TransversalPair G A B) := by
choose t ht using fun u ↦ (toSubgroup A B u).exists_right_transversal 1
exact ⟨⟨t, fun i ↦ (ht i).1⟩⟩
structure ReducedWord : Type _ :=
head : G
toList : List (ℤˣ × G)
chain : toList.Chain' (fun a b => a.2 ∈ toSubgroup A B a.1 → a.1 = b.1)
@[simps]
def ReducedWord.empty : ReducedWord G A B :=
{ head := 1
toList := []
chain := List.chain'_nil }
variable {G A B}
def ReducedWord.prod : ReducedWord G A B → HNNExtension G A B φ :=
fun w => of w.head * (w.toList.map (fun x => t ^ (x.1 : ℤ) * of x.2)).prod
structure _root_.HNNExtension.NormalWord (d : TransversalPair G A B)
extends ReducedWord G A B : Type _ :=
mem_set : ∀ (u : ℤˣ) (g : G), (u, g) ∈ toList → g ∈ d.set u
variable {d : TransversalPair G A B}
@[ext]
| Mathlib/GroupTheory/HNNExtension.lean | 225 | 227 | theorem ext {w w' : NormalWord d}
(h1 : w.head = w'.head) (h2 : w.toList = w'.toList): w = w' := by |
rcases w with ⟨⟨⟩, _⟩; cases w'; simp_all
|
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Arctan
import Mathlib.Geometry.Euclidean.Angle.Unoriented.Affine
#align_import geometry.euclidean.angle.unoriented.right_angle from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5"
noncomputable section
open scoped EuclideanGeometry
open scoped Real
open scoped RealInnerProductSpace
namespace InnerProductGeometry
variable {V : Type*} [NormedAddCommGroup V] [InnerProductSpace ℝ V]
theorem norm_add_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two (x y : V) :
‖x + y‖ * ‖x + y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ ↔ angle x y = π / 2 := by
rw [norm_add_sq_eq_norm_sq_add_norm_sq_iff_real_inner_eq_zero]
exact inner_eq_zero_iff_angle_eq_pi_div_two x y
#align inner_product_geometry.norm_add_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two InnerProductGeometry.norm_add_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two
theorem norm_add_sq_eq_norm_sq_add_norm_sq' (x y : V) (h : angle x y = π / 2) :
‖x + y‖ * ‖x + y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ :=
(norm_add_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two x y).2 h
#align inner_product_geometry.norm_add_sq_eq_norm_sq_add_norm_sq' InnerProductGeometry.norm_add_sq_eq_norm_sq_add_norm_sq'
theorem norm_sub_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two (x y : V) :
‖x - y‖ * ‖x - y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ ↔ angle x y = π / 2 := by
rw [norm_sub_sq_eq_norm_sq_add_norm_sq_iff_real_inner_eq_zero]
exact inner_eq_zero_iff_angle_eq_pi_div_two x y
#align inner_product_geometry.norm_sub_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two InnerProductGeometry.norm_sub_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two
theorem norm_sub_sq_eq_norm_sq_add_norm_sq' (x y : V) (h : angle x y = π / 2) :
‖x - y‖ * ‖x - y‖ = ‖x‖ * ‖x‖ + ‖y‖ * ‖y‖ :=
(norm_sub_sq_eq_norm_sq_add_norm_sq_iff_angle_eq_pi_div_two x y).2 h
#align inner_product_geometry.norm_sub_sq_eq_norm_sq_add_norm_sq' InnerProductGeometry.norm_sub_sq_eq_norm_sq_add_norm_sq'
theorem angle_add_eq_arccos_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) :
angle x (x + y) = Real.arccos (‖x‖ / ‖x + y‖) := by
rw [angle, inner_add_right, h, add_zero, real_inner_self_eq_norm_mul_norm]
by_cases hx : ‖x‖ = 0; · simp [hx]
rw [div_mul_eq_div_div, mul_self_div_self]
#align inner_product_geometry.angle_add_eq_arccos_of_inner_eq_zero InnerProductGeometry.angle_add_eq_arccos_of_inner_eq_zero
theorem angle_add_eq_arcsin_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0 ∨ y ≠ 0) :
angle x (x + y) = Real.arcsin (‖y‖ / ‖x + y‖) := by
have hxy : ‖x + y‖ ^ 2 ≠ 0 := by
rw [pow_two, norm_add_sq_eq_norm_sq_add_norm_sq_real h, ne_comm]
refine ne_of_lt ?_
rcases h0 with (h0 | h0)
· exact
Left.add_pos_of_pos_of_nonneg (mul_self_pos.2 (norm_ne_zero_iff.2 h0)) (mul_self_nonneg _)
· exact
Left.add_pos_of_nonneg_of_pos (mul_self_nonneg _) (mul_self_pos.2 (norm_ne_zero_iff.2 h0))
rw [angle_add_eq_arccos_of_inner_eq_zero h,
Real.arccos_eq_arcsin (div_nonneg (norm_nonneg _) (norm_nonneg _)), div_pow, one_sub_div hxy]
nth_rw 1 [pow_two]
rw [norm_add_sq_eq_norm_sq_add_norm_sq_real h, pow_two, add_sub_cancel_left, ← pow_two, ← div_pow,
Real.sqrt_sq (div_nonneg (norm_nonneg _) (norm_nonneg _))]
#align inner_product_geometry.angle_add_eq_arcsin_of_inner_eq_zero InnerProductGeometry.angle_add_eq_arcsin_of_inner_eq_zero
theorem angle_add_eq_arctan_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0) :
angle x (x + y) = Real.arctan (‖y‖ / ‖x‖) := by
rw [angle_add_eq_arcsin_of_inner_eq_zero h (Or.inl h0), Real.arctan_eq_arcsin, ←
div_mul_eq_div_div, norm_add_eq_sqrt_iff_real_inner_eq_zero.2 h]
nth_rw 3 [← Real.sqrt_sq (norm_nonneg x)]
rw_mod_cast [← Real.sqrt_mul (sq_nonneg _), div_pow, pow_two, pow_two, mul_add, mul_one, mul_div,
mul_comm (‖x‖ * ‖x‖), ← mul_div, div_self (mul_self_pos.2 (norm_ne_zero_iff.2 h0)).ne', mul_one]
#align inner_product_geometry.angle_add_eq_arctan_of_inner_eq_zero InnerProductGeometry.angle_add_eq_arctan_of_inner_eq_zero
theorem angle_add_pos_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x = 0 ∨ y ≠ 0) :
0 < angle x (x + y) := by
rw [angle_add_eq_arccos_of_inner_eq_zero h, Real.arccos_pos,
norm_add_eq_sqrt_iff_real_inner_eq_zero.2 h]
by_cases hx : x = 0; · simp [hx]
rw [div_lt_one (Real.sqrt_pos.2 (Left.add_pos_of_pos_of_nonneg (mul_self_pos.2
(norm_ne_zero_iff.2 hx)) (mul_self_nonneg _))), Real.lt_sqrt (norm_nonneg _), pow_two]
simpa [hx] using h0
#align inner_product_geometry.angle_add_pos_of_inner_eq_zero InnerProductGeometry.angle_add_pos_of_inner_eq_zero
theorem angle_add_le_pi_div_two_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) :
angle x (x + y) ≤ π / 2 := by
rw [angle_add_eq_arccos_of_inner_eq_zero h, Real.arccos_le_pi_div_two]
exact div_nonneg (norm_nonneg _) (norm_nonneg _)
#align inner_product_geometry.angle_add_le_pi_div_two_of_inner_eq_zero InnerProductGeometry.angle_add_le_pi_div_two_of_inner_eq_zero
theorem angle_add_lt_pi_div_two_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0) :
angle x (x + y) < π / 2 := by
rw [angle_add_eq_arccos_of_inner_eq_zero h, Real.arccos_lt_pi_div_two,
norm_add_eq_sqrt_iff_real_inner_eq_zero.2 h]
exact div_pos (norm_pos_iff.2 h0) (Real.sqrt_pos.2 (Left.add_pos_of_pos_of_nonneg
(mul_self_pos.2 (norm_ne_zero_iff.2 h0)) (mul_self_nonneg _)))
#align inner_product_geometry.angle_add_lt_pi_div_two_of_inner_eq_zero InnerProductGeometry.angle_add_lt_pi_div_two_of_inner_eq_zero
theorem cos_angle_add_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) :
Real.cos (angle x (x + y)) = ‖x‖ / ‖x + y‖ := by
rw [angle_add_eq_arccos_of_inner_eq_zero h,
Real.cos_arccos (le_trans (by norm_num) (div_nonneg (norm_nonneg _) (norm_nonneg _)))
(div_le_one_of_le _ (norm_nonneg _))]
rw [mul_self_le_mul_self_iff (norm_nonneg _) (norm_nonneg _),
norm_add_sq_eq_norm_sq_add_norm_sq_real h]
exact le_add_of_nonneg_right (mul_self_nonneg _)
#align inner_product_geometry.cos_angle_add_of_inner_eq_zero InnerProductGeometry.cos_angle_add_of_inner_eq_zero
theorem sin_angle_add_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) (h0 : x ≠ 0 ∨ y ≠ 0) :
Real.sin (angle x (x + y)) = ‖y‖ / ‖x + y‖ := by
rw [angle_add_eq_arcsin_of_inner_eq_zero h h0,
Real.sin_arcsin (le_trans (by norm_num) (div_nonneg (norm_nonneg _) (norm_nonneg _)))
(div_le_one_of_le _ (norm_nonneg _))]
rw [mul_self_le_mul_self_iff (norm_nonneg _) (norm_nonneg _),
norm_add_sq_eq_norm_sq_add_norm_sq_real h]
exact le_add_of_nonneg_left (mul_self_nonneg _)
#align inner_product_geometry.sin_angle_add_of_inner_eq_zero InnerProductGeometry.sin_angle_add_of_inner_eq_zero
theorem tan_angle_add_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) :
Real.tan (angle x (x + y)) = ‖y‖ / ‖x‖ := by
by_cases h0 : x = 0; · simp [h0]
rw [angle_add_eq_arctan_of_inner_eq_zero h h0, Real.tan_arctan]
#align inner_product_geometry.tan_angle_add_of_inner_eq_zero InnerProductGeometry.tan_angle_add_of_inner_eq_zero
theorem cos_angle_add_mul_norm_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) :
Real.cos (angle x (x + y)) * ‖x + y‖ = ‖x‖ := by
rw [cos_angle_add_of_inner_eq_zero h]
by_cases hxy : ‖x + y‖ = 0
· have h' := norm_add_sq_eq_norm_sq_add_norm_sq_real h
rw [hxy, zero_mul, eq_comm,
add_eq_zero_iff' (mul_self_nonneg ‖x‖) (mul_self_nonneg ‖y‖), mul_self_eq_zero] at h'
simp [h'.1]
· exact div_mul_cancel₀ _ hxy
#align inner_product_geometry.cos_angle_add_mul_norm_of_inner_eq_zero InnerProductGeometry.cos_angle_add_mul_norm_of_inner_eq_zero
| Mathlib/Geometry/Euclidean/Angle/Unoriented/RightAngle.lean | 175 | 184 | theorem sin_angle_add_mul_norm_of_inner_eq_zero {x y : V} (h : ⟪x, y⟫ = 0) :
Real.sin (angle x (x + y)) * ‖x + y‖ = ‖y‖ := by |
by_cases h0 : x = 0 ∧ y = 0; · simp [h0]
rw [not_and_or] at h0
rw [sin_angle_add_of_inner_eq_zero h h0, div_mul_cancel₀]
rw [← mul_self_ne_zero, norm_add_sq_eq_norm_sq_add_norm_sq_real h]
refine (ne_of_lt ?_).symm
rcases h0 with (h0 | h0)
· exact Left.add_pos_of_pos_of_nonneg (mul_self_pos.2 (norm_ne_zero_iff.2 h0)) (mul_self_nonneg _)
· exact Left.add_pos_of_nonneg_of_pos (mul_self_nonneg _) (mul_self_pos.2 (norm_ne_zero_iff.2 h0))
|
import Mathlib.Algebra.Group.Support
import Mathlib.Algebra.Order.Monoid.WithTop
import Mathlib.Data.Nat.Cast.Field
#align_import algebra.char_zero.lemmas from "leanprover-community/mathlib"@"acee671f47b8e7972a1eb6f4eed74b4b3abce829"
open Function Set
section AddMonoidWithOne
variable {α M : Type*} [AddMonoidWithOne M] [CharZero M] {n : ℕ}
instance CharZero.NeZero.two : NeZero (2 : M) :=
⟨by
have : ((2 : ℕ) : M) ≠ 0 := Nat.cast_ne_zero.2 (by decide)
rwa [Nat.cast_two] at this⟩
#align char_zero.ne_zero.two CharZero.NeZero.two
section
variable {R : Type*} [NonAssocSemiring R] [NoZeroDivisors R] [CharZero R] {a : R}
@[simp]
theorem add_self_eq_zero {a : R} : a + a = 0 ↔ a = 0 := by
simp only [(two_mul a).symm, mul_eq_zero, two_ne_zero, false_or_iff]
#align add_self_eq_zero add_self_eq_zero
set_option linter.deprecated false
@[simp]
theorem bit0_eq_zero {a : R} : bit0 a = 0 ↔ a = 0 :=
add_self_eq_zero
#align bit0_eq_zero bit0_eq_zero
@[simp]
theorem zero_eq_bit0 {a : R} : 0 = bit0 a ↔ a = 0 := by
rw [eq_comm]
exact bit0_eq_zero
#align zero_eq_bit0 zero_eq_bit0
theorem bit0_ne_zero : bit0 a ≠ 0 ↔ a ≠ 0 :=
bit0_eq_zero.not
#align bit0_ne_zero bit0_ne_zero
theorem zero_ne_bit0 : 0 ≠ bit0 a ↔ a ≠ 0 :=
zero_eq_bit0.not
#align zero_ne_bit0 zero_ne_bit0
end
section
variable {R : Type*} [NonAssocRing R] [NoZeroDivisors R] [CharZero R]
@[simp] theorem neg_eq_self_iff {a : R} : -a = a ↔ a = 0 :=
neg_eq_iff_add_eq_zero.trans add_self_eq_zero
#align neg_eq_self_iff neg_eq_self_iff
@[simp] theorem eq_neg_self_iff {a : R} : a = -a ↔ a = 0 :=
eq_neg_iff_add_eq_zero.trans add_self_eq_zero
#align eq_neg_self_iff eq_neg_self_iff
theorem nat_mul_inj {n : ℕ} {a b : R} (h : (n : R) * a = (n : R) * b) : n = 0 ∨ a = b := by
rw [← sub_eq_zero, ← mul_sub, mul_eq_zero, sub_eq_zero] at h
exact mod_cast h
#align nat_mul_inj nat_mul_inj
theorem nat_mul_inj' {n : ℕ} {a b : R} (h : (n : R) * a = (n : R) * b) (w : n ≠ 0) : a = b := by
simpa [w] using nat_mul_inj h
#align nat_mul_inj' nat_mul_inj'
set_option linter.deprecated false
theorem bit0_injective : Function.Injective (bit0 : R → R) := fun a b h => by
dsimp [bit0] at h
simp only [(two_mul a).symm, (two_mul b).symm] at h
refine nat_mul_inj' ?_ two_ne_zero
exact mod_cast h
#align bit0_injective bit0_injective
theorem bit1_injective : Function.Injective (bit1 : R → R) := fun a b h => by
simp only [bit1, add_left_inj] at h
exact bit0_injective h
#align bit1_injective bit1_injective
@[simp]
theorem bit0_eq_bit0 {a b : R} : bit0 a = bit0 b ↔ a = b :=
bit0_injective.eq_iff
#align bit0_eq_bit0 bit0_eq_bit0
@[simp]
theorem bit1_eq_bit1 {a b : R} : bit1 a = bit1 b ↔ a = b :=
bit1_injective.eq_iff
#align bit1_eq_bit1 bit1_eq_bit1
@[simp]
theorem bit1_eq_one {a : R} : bit1 a = 1 ↔ a = 0 := by
rw [show (1 : R) = bit1 0 by simp, bit1_eq_bit1]
#align bit1_eq_one bit1_eq_one
@[simp]
| Mathlib/Algebra/CharZero/Lemmas.lean | 166 | 168 | theorem one_eq_bit1 {a : R} : 1 = bit1 a ↔ a = 0 := by |
rw [eq_comm]
exact bit1_eq_one
|
import Mathlib.AlgebraicGeometry.AffineScheme
import Mathlib.RingTheory.Nilpotent.Lemmas
import Mathlib.Topology.Sheaves.SheafCondition.Sites
import Mathlib.Algebra.Category.Ring.Constructions
import Mathlib.RingTheory.LocalProperties
#align_import algebraic_geometry.properties from "leanprover-community/mathlib"@"88474d1b5af6d37c2ab728b757771bced7f5194c"
-- Explicit universe annotations were used in this file to improve perfomance #12737
universe u
open TopologicalSpace Opposite CategoryTheory CategoryTheory.Limits TopCat
namespace AlgebraicGeometry
variable (X : Scheme)
instance : T0Space X.carrier := by
refine T0Space.of_open_cover fun x => ?_
obtain ⟨U, R, ⟨e⟩⟩ := X.local_affine x
let e' : U.1 ≃ₜ PrimeSpectrum R :=
homeoOfIso ((LocallyRingedSpace.forgetToSheafedSpace ⋙ SheafedSpace.forget _).mapIso e)
exact ⟨U.1.1, U.2, U.1.2, e'.embedding.t0Space⟩
instance : QuasiSober X.carrier := by
apply (config := { allowSynthFailures := true })
quasiSober_of_open_cover (Set.range fun x => Set.range <| (X.affineCover.map x).1.base)
· rintro ⟨_, i, rfl⟩; exact (X.affineCover.IsOpen i).base_open.isOpen_range
· rintro ⟨_, i, rfl⟩
exact @OpenEmbedding.quasiSober _ _ _ _ _ (Homeomorph.ofEmbedding _
(X.affineCover.IsOpen i).base_open.toEmbedding).symm.openEmbedding PrimeSpectrum.quasiSober
· rw [Set.top_eq_univ, Set.sUnion_range, Set.eq_univ_iff_forall]
intro x; exact ⟨_, ⟨_, rfl⟩, X.affineCover.Covers x⟩
class IsReduced : Prop where
component_reduced : ∀ U, IsReduced (X.presheaf.obj (op U)) := by infer_instance
#align algebraic_geometry.is_reduced AlgebraicGeometry.IsReduced
attribute [instance] IsReduced.component_reduced
theorem isReducedOfStalkIsReduced [∀ x : X.carrier, _root_.IsReduced (X.presheaf.stalk x)] :
IsReduced X := by
refine ⟨fun U => ⟨fun s hs => ?_⟩⟩
apply Presheaf.section_ext X.sheaf U s 0
intro x
rw [RingHom.map_zero]
change X.presheaf.germ x s = 0
exact (hs.map _).eq_zero
#align algebraic_geometry.is_reduced_of_stalk_is_reduced AlgebraicGeometry.isReducedOfStalkIsReduced
instance stalk_isReduced_of_reduced [IsReduced X] (x : X.carrier) :
_root_.IsReduced (X.presheaf.stalk x) := by
constructor
rintro g ⟨n, e⟩
obtain ⟨U, hxU, s, rfl⟩ := X.presheaf.germ_exist x g
rw [← map_pow, ← map_zero (X.presheaf.germ ⟨x, hxU⟩)] at e
obtain ⟨V, hxV, iU, iV, e'⟩ := X.presheaf.germ_eq x hxU hxU _ 0 e
rw [map_pow, map_zero] at e'
replace e' := (IsNilpotent.mk _ _ e').eq_zero (R := X.presheaf.obj <| op V)
erw [← ConcreteCategory.congr_hom (X.presheaf.germ_res iU ⟨x, hxV⟩) s]
rw [comp_apply, e', map_zero]
#align algebraic_geometry.stalk_is_reduced_of_reduced AlgebraicGeometry.stalk_isReduced_of_reduced
theorem isReducedOfOpenImmersion {X Y : Scheme} (f : X ⟶ Y) [H : IsOpenImmersion f]
[IsReduced Y] : IsReduced X := by
constructor
intro U
have : U = (Opens.map f.1.base).obj (H.base_open.isOpenMap.functor.obj U) := by
ext1; exact (Set.preimage_image_eq _ H.base_open.inj).symm
rw [this]
exact isReduced_of_injective (inv <| f.1.c.app (op <| H.base_open.isOpenMap.functor.obj U))
(asIso <| f.1.c.app (op <| H.base_open.isOpenMap.functor.obj U) :
Y.presheaf.obj _ ≅ _).symm.commRingCatIsoToRingEquiv.injective
#align algebraic_geometry.is_reduced_of_open_immersion AlgebraicGeometry.isReducedOfOpenImmersion
instance {R : CommRingCat.{u}} [H : _root_.IsReduced R] : IsReduced (Scheme.Spec.obj <| op R) := by
apply (config := { allowSynthFailures := true }) isReducedOfStalkIsReduced
intro x; dsimp
have : _root_.IsReduced (CommRingCat.of <| Localization.AtPrime (PrimeSpectrum.asIdeal x)) := by
dsimp; infer_instance
rw [show (Scheme.Spec.obj <| op R).presheaf = (Spec.structureSheaf R).presheaf from rfl]
exact isReduced_of_injective (StructureSheaf.stalkIso R x).hom
(StructureSheaf.stalkIso R x).commRingCatIsoToRingEquiv.injective
theorem affine_isReduced_iff (R : CommRingCat) :
IsReduced (Scheme.Spec.obj <| op R) ↔ _root_.IsReduced R := by
refine ⟨?_, fun h => inferInstance⟩
intro h
have : _root_.IsReduced
(LocallyRingedSpace.Γ.obj (op <| Spec.toLocallyRingedSpace.obj <| op R)) := by
change _root_.IsReduced ((Scheme.Spec.obj <| op R).presheaf.obj <| op ⊤); infer_instance
exact isReduced_of_injective (toSpecΓ R) (asIso <| toSpecΓ R).commRingCatIsoToRingEquiv.injective
#align algebraic_geometry.affine_is_reduced_iff AlgebraicGeometry.affine_isReduced_iff
theorem isReducedOfIsAffineIsReduced [IsAffine X] [h : _root_.IsReduced (X.presheaf.obj (op ⊤))] :
IsReduced X :=
haveI : IsReduced (Scheme.Spec.obj (op (Scheme.Γ.obj (op X)))) := by
rw [affine_isReduced_iff]; exact h
isReducedOfOpenImmersion X.isoSpec.hom
#align algebraic_geometry.is_reduced_of_is_affine_is_reduced AlgebraicGeometry.isReducedOfIsAffineIsReduced
theorem reduce_to_affine_global (P : ∀ (X : Scheme) (_ : Opens X.carrier), Prop)
(h₁ : ∀ (X : Scheme) (U : Opens X.carrier),
(∀ x : U, ∃ (V : _) (_ : x.1 ∈ V) (_ : V ⟶ U), P X V) → P X U)
(h₂ : ∀ {X Y} (f : X ⟶ Y) [hf : IsOpenImmersion f],
∃ (U : Set X.carrier) (V : Set Y.carrier) (hU : U = ⊤) (hV : V = Set.range f.1.base),
P X ⟨U, hU.symm ▸ isOpen_univ⟩ → P Y ⟨V, hV.symm ▸ hf.base_open.isOpen_range⟩)
(h₃ : ∀ R : CommRingCat, P (Scheme.Spec.obj <| op R) ⊤) :
∀ (X : Scheme) (U : Opens X.carrier), P X U := by
intro X U
apply h₁
intro x
obtain ⟨_, ⟨j, rfl⟩, hx, i⟩ :=
X.affineBasisCover_is_basis.exists_subset_of_mem_open (SetLike.mem_coe.2 x.prop) U.isOpen
let U' : Opens _ := ⟨_, (X.affineBasisCover.IsOpen j).base_open.isOpen_range⟩
let i' : U' ⟶ U := homOfLE i
refine ⟨U', hx, i', ?_⟩
obtain ⟨_, _, rfl, rfl, h₂'⟩ := h₂ (X.affineBasisCover.map j)
apply h₂'
apply h₃
#align algebraic_geometry.reduce_to_affine_global AlgebraicGeometry.reduce_to_affine_global
theorem reduce_to_affine_nbhd (P : ∀ (X : Scheme) (_ : X.carrier), Prop)
(h₁ : ∀ (R : CommRingCat) (x : PrimeSpectrum R), P (Scheme.Spec.obj <| op R) x)
(h₂ : ∀ {X Y} (f : X ⟶ Y) [IsOpenImmersion f] (x : X.carrier), P X x → P Y (f.1.base x)) :
∀ (X : Scheme) (x : X.carrier), P X x := by
intro X x
obtain ⟨y, e⟩ := X.affineCover.Covers x
convert h₂ (X.affineCover.map (X.affineCover.f x)) y _
· rw [e]
apply h₁
#align algebraic_geometry.reduce_to_affine_nbhd AlgebraicGeometry.reduce_to_affine_nbhd
theorem eq_zero_of_basicOpen_eq_bot {X : Scheme} [hX : IsReduced X] {U : Opens X.carrier}
(s : X.presheaf.obj (op U)) (hs : X.basicOpen s = ⊥) : s = 0 := by
apply TopCat.Presheaf.section_ext X.sheaf U
conv => intro x; rw [RingHom.map_zero]
refine (@reduce_to_affine_global (fun X U =>
∀ [IsReduced X] (s : X.presheaf.obj (op U)),
X.basicOpen s = ⊥ → ∀ x, (X.sheaf.presheaf.germ x) s = 0) ?_ ?_ ?_) X U s hs
· intro X U hx hX s hs x
obtain ⟨V, hx, i, H⟩ := hx x
specialize H (X.presheaf.map i.op s)
erw [Scheme.basicOpen_res] at H
rw [hs] at H
specialize H (inf_bot_eq _) ⟨x, hx⟩
erw [TopCat.Presheaf.germ_res_apply] at H
exact H
· rintro X Y f hf
have e : f.val.base ⁻¹' Set.range ↑f.val.base = Set.univ := by
rw [← Set.image_univ, Set.preimage_image_eq _ hf.base_open.inj]
refine ⟨_, _, e, rfl, ?_⟩
rintro H hX s hs ⟨_, x, rfl⟩
haveI := isReducedOfOpenImmersion f
specialize H (f.1.c.app _ s) _ ⟨x, by rw [Opens.mem_mk, e]; trivial⟩
· rw [← Scheme.preimage_basicOpen, hs]; ext1; simp [Opens.map]
· erw [← PresheafedSpace.stalkMap_germ_apply f.1 ⟨_, _⟩ ⟨x, _⟩] at H
apply_fun inv <| PresheafedSpace.stalkMap f.val x at H
erw [CategoryTheory.IsIso.hom_inv_id_apply, map_zero] at H
exact H
· intro R hX s hs x
erw [basicOpen_eq_of_affine', PrimeSpectrum.basicOpen_eq_bot_iff] at hs
replace hs := hs.map (SpecΓIdentity.app R).inv
-- what the hell?!
replace hs := @IsNilpotent.eq_zero _ _ _ _ (show _ from ?_) hs
· rw [Iso.hom_inv_id_apply] at hs
rw [hs, map_zero]
exact @IsReduced.component_reduced _ hX ⊤
#align algebraic_geometry.eq_zero_of_basic_open_eq_bot AlgebraicGeometry.eq_zero_of_basicOpen_eq_bot
@[simp]
theorem basicOpen_eq_bot_iff {X : Scheme} [IsReduced X] {U : Opens X.carrier}
(s : X.presheaf.obj <| op U) : X.basicOpen s = ⊥ ↔ s = 0 := by
refine ⟨eq_zero_of_basicOpen_eq_bot s, ?_⟩
rintro rfl
simp
#align algebraic_geometry.basic_open_eq_bot_iff AlgebraicGeometry.basicOpen_eq_bot_iff
class IsIntegral : Prop where
nonempty : Nonempty X.carrier := by infer_instance
component_integral : ∀ (U : Opens X.carrier) [Nonempty U], IsDomain (X.presheaf.obj (op U)) := by
infer_instance
#align algebraic_geometry.is_integral AlgebraicGeometry.IsIntegral
attribute [instance] IsIntegral.component_integral IsIntegral.nonempty
instance [h : IsIntegral X] : IsDomain (X.presheaf.obj (op ⊤)) :=
@IsIntegral.component_integral _ _ _ (by
simp only [Set.univ_nonempty, Opens.nonempty_coeSort, Opens.coe_top])
instance (priority := 900) isReducedOfIsIntegral [IsIntegral X] : IsReduced X := by
constructor
intro U
rcases U.1.eq_empty_or_nonempty with h | h
· have : U = ⊥ := SetLike.ext' h
haveI := CommRingCat.subsingleton_of_isTerminal (X.sheaf.isTerminalOfEqEmpty this)
change _root_.IsReduced (X.sheaf.val.obj (op U))
infer_instance
· haveI : Nonempty U := by simpa
infer_instance
#align algebraic_geometry.is_reduced_of_is_integral AlgebraicGeometry.isReducedOfIsIntegral
instance is_irreducible_of_isIntegral [IsIntegral X] : IrreducibleSpace X.carrier := by
by_contra H
replace H : ¬IsPreirreducible (⊤ : Set X.carrier) := fun h =>
H { toPreirreducibleSpace := ⟨h⟩
toNonempty := inferInstance }
simp_rw [isPreirreducible_iff_closed_union_closed, not_forall, not_or] at H
rcases H with ⟨S, T, hS, hT, h₁, h₂, h₃⟩
erw [not_forall] at h₂ h₃
simp_rw [not_forall] at h₂ h₃
haveI : Nonempty (⟨Sᶜ, hS.1⟩ : Opens X.carrier) := ⟨⟨_, h₂.choose_spec.choose_spec⟩⟩
haveI : Nonempty (⟨Tᶜ, hT.1⟩ : Opens X.carrier) := ⟨⟨_, h₃.choose_spec.choose_spec⟩⟩
haveI : Nonempty (⟨Sᶜ, hS.1⟩ ⊔ ⟨Tᶜ, hT.1⟩ : Opens X.carrier) :=
⟨⟨_, Or.inl h₂.choose_spec.choose_spec⟩⟩
let e : X.presheaf.obj _ ≅ CommRingCat.of _ :=
(X.sheaf.isProductOfDisjoint ⟨_, hS.1⟩ ⟨_, hT.1⟩ ?_).conePointUniqueUpToIso
(CommRingCat.prodFanIsLimit _ _)
· apply (config := { allowSynthFailures := true }) false_of_nontrivial_of_product_domain
· exact e.symm.commRingCatIsoToRingEquiv.toMulEquiv.isDomain _
· apply X.toLocallyRingedSpace.component_nontrivial
· apply X.toLocallyRingedSpace.component_nontrivial
· ext x
constructor
· rintro ⟨hS, hT⟩
cases' h₁ (show x ∈ ⊤ by trivial) with h h
exacts [hS h, hT h]
· intro x
exact x.rec (by contradiction)
#align algebraic_geometry.is_irreducible_of_is_integral AlgebraicGeometry.is_irreducible_of_isIntegral
| Mathlib/AlgebraicGeometry/Properties.lean | 260 | 279 | theorem isIntegralOfIsIrreducibleIsReduced [IsReduced X] [H : IrreducibleSpace X.carrier] :
IsIntegral X := by |
constructor; · infer_instance
intro U hU
haveI := (@LocallyRingedSpace.component_nontrivial X.toLocallyRingedSpace U hU).1
have : NoZeroDivisors
(X.toLocallyRingedSpace.toSheafedSpace.toPresheafedSpace.presheaf.obj (op U)) := by
refine ⟨fun {a b} e => ?_⟩
simp_rw [← basicOpen_eq_bot_iff, ← Opens.not_nonempty_iff_eq_bot]
by_contra! h
obtain ⟨_, ⟨x, hx₁, rfl⟩, ⟨x, hx₂, e'⟩⟩ :=
nonempty_preirreducible_inter (X.basicOpen a).2 (X.basicOpen b).2 h.1 h.2
replace e' := Subtype.eq e'
subst e'
replace e := congr_arg (X.presheaf.germ x) e
rw [RingHom.map_mul, RingHom.map_zero] at e
refine zero_ne_one' (X.presheaf.stalk x.1) (isUnit_zero_iff.1 ?_)
convert hx₁.mul hx₂
exact e.symm
exact NoZeroDivisors.to_isDomain _
|
import Mathlib.Data.Option.NAry
import Mathlib.Data.Seq.Computation
#align_import data.seq.seq from "leanprover-community/mathlib"@"a7e36e48519ab281320c4d192da6a7b348ce40ad"
namespace Stream'
universe u v w
def IsSeq {α : Type u} (s : Stream' (Option α)) : Prop :=
∀ {n : ℕ}, s n = none → s (n + 1) = none
#align stream.is_seq Stream'.IsSeq
def Seq (α : Type u) : Type u :=
{ f : Stream' (Option α) // f.IsSeq }
#align stream.seq Stream'.Seq
def Seq1 (α) :=
α × Seq α
#align stream.seq1 Stream'.Seq1
namespace Seq
variable {α : Type u} {β : Type v} {γ : Type w}
def nil : Seq α :=
⟨Stream'.const none, fun {_} _ => rfl⟩
#align stream.seq.nil Stream'.Seq.nil
instance : Inhabited (Seq α) :=
⟨nil⟩
def cons (a : α) (s : Seq α) : Seq α :=
⟨some a::s.1, by
rintro (n | _) h
· contradiction
· exact s.2 h⟩
#align stream.seq.cons Stream'.Seq.cons
@[simp]
theorem val_cons (s : Seq α) (x : α) : (cons x s).val = some x::s.val :=
rfl
#align stream.seq.val_cons Stream'.Seq.val_cons
def get? : Seq α → ℕ → Option α :=
Subtype.val
#align stream.seq.nth Stream'.Seq.get?
@[simp]
theorem get?_mk (f hf) : @get? α ⟨f, hf⟩ = f :=
rfl
#align stream.seq.nth_mk Stream'.Seq.get?_mk
@[simp]
theorem get?_nil (n : ℕ) : (@nil α).get? n = none :=
rfl
#align stream.seq.nth_nil Stream'.Seq.get?_nil
@[simp]
theorem get?_cons_zero (a : α) (s : Seq α) : (cons a s).get? 0 = some a :=
rfl
#align stream.seq.nth_cons_zero Stream'.Seq.get?_cons_zero
@[simp]
theorem get?_cons_succ (a : α) (s : Seq α) (n : ℕ) : (cons a s).get? (n + 1) = s.get? n :=
rfl
#align stream.seq.nth_cons_succ Stream'.Seq.get?_cons_succ
@[ext]
protected theorem ext {s t : Seq α} (h : ∀ n : ℕ, s.get? n = t.get? n) : s = t :=
Subtype.eq <| funext h
#align stream.seq.ext Stream'.Seq.ext
theorem cons_injective2 : Function.Injective2 (cons : α → Seq α → Seq α) := fun x y s t h =>
⟨by rw [← Option.some_inj, ← get?_cons_zero, h, get?_cons_zero],
Seq.ext fun n => by simp_rw [← get?_cons_succ x s n, h, get?_cons_succ]⟩
#align stream.seq.cons_injective2 Stream'.Seq.cons_injective2
theorem cons_left_injective (s : Seq α) : Function.Injective fun x => cons x s :=
cons_injective2.left _
#align stream.seq.cons_left_injective Stream'.Seq.cons_left_injective
theorem cons_right_injective (x : α) : Function.Injective (cons x) :=
cons_injective2.right _
#align stream.seq.cons_right_injective Stream'.Seq.cons_right_injective
def TerminatedAt (s : Seq α) (n : ℕ) : Prop :=
s.get? n = none
#align stream.seq.terminated_at Stream'.Seq.TerminatedAt
instance terminatedAtDecidable (s : Seq α) (n : ℕ) : Decidable (s.TerminatedAt n) :=
decidable_of_iff' (s.get? n).isNone <| by unfold TerminatedAt; cases s.get? n <;> simp
#align stream.seq.terminated_at_decidable Stream'.Seq.terminatedAtDecidable
def Terminates (s : Seq α) : Prop :=
∃ n : ℕ, s.TerminatedAt n
#align stream.seq.terminates Stream'.Seq.Terminates
theorem not_terminates_iff {s : Seq α} : ¬s.Terminates ↔ ∀ n, (s.get? n).isSome := by
simp only [Terminates, TerminatedAt, ← Ne.eq_def, Option.ne_none_iff_isSome, not_exists, iff_self]
#align stream.seq.not_terminates_iff Stream'.Seq.not_terminates_iff
@[simp]
def omap (f : β → γ) : Option (α × β) → Option (α × γ)
| none => none
| some (a, b) => some (a, f b)
#align stream.seq.omap Stream'.Seq.omap
def head (s : Seq α) : Option α :=
get? s 0
#align stream.seq.head Stream'.Seq.head
def tail (s : Seq α) : Seq α :=
⟨s.1.tail, fun n' => by
cases' s with f al
exact al n'⟩
#align stream.seq.tail Stream'.Seq.tail
protected def Mem (a : α) (s : Seq α) :=
some a ∈ s.1
#align stream.seq.mem Stream'.Seq.Mem
instance : Membership α (Seq α) :=
⟨Seq.Mem⟩
theorem le_stable (s : Seq α) {m n} (h : m ≤ n) : s.get? m = none → s.get? n = none := by
cases' s with f al
induction' h with n _ IH
exacts [id, fun h2 => al (IH h2)]
#align stream.seq.le_stable Stream'.Seq.le_stable
theorem terminated_stable : ∀ (s : Seq α) {m n : ℕ}, m ≤ n → s.TerminatedAt m → s.TerminatedAt n :=
le_stable
#align stream.seq.terminated_stable Stream'.Seq.terminated_stable
theorem ge_stable (s : Seq α) {aₙ : α} {n m : ℕ} (m_le_n : m ≤ n)
(s_nth_eq_some : s.get? n = some aₙ) : ∃ aₘ : α, s.get? m = some aₘ :=
have : s.get? n ≠ none := by simp [s_nth_eq_some]
have : s.get? m ≠ none := mt (s.le_stable m_le_n) this
Option.ne_none_iff_exists'.mp this
#align stream.seq.ge_stable Stream'.Seq.ge_stable
theorem not_mem_nil (a : α) : a ∉ @nil α := fun ⟨_, (h : some a = none)⟩ => by injection h
#align stream.seq.not_mem_nil Stream'.Seq.not_mem_nil
theorem mem_cons (a : α) : ∀ s : Seq α, a ∈ cons a s
| ⟨_, _⟩ => Stream'.mem_cons (some a) _
#align stream.seq.mem_cons Stream'.Seq.mem_cons
theorem mem_cons_of_mem (y : α) {a : α} : ∀ {s : Seq α}, a ∈ s → a ∈ cons y s
| ⟨_, _⟩ => Stream'.mem_cons_of_mem (some y)
#align stream.seq.mem_cons_of_mem Stream'.Seq.mem_cons_of_mem
theorem eq_or_mem_of_mem_cons {a b : α} : ∀ {s : Seq α}, a ∈ cons b s → a = b ∨ a ∈ s
| ⟨f, al⟩, h => (Stream'.eq_or_mem_of_mem_cons h).imp_left fun h => by injection h
#align stream.seq.eq_or_mem_of_mem_cons Stream'.Seq.eq_or_mem_of_mem_cons
@[simp]
theorem mem_cons_iff {a b : α} {s : Seq α} : a ∈ cons b s ↔ a = b ∨ a ∈ s :=
⟨eq_or_mem_of_mem_cons, by rintro (rfl | m) <;> [apply mem_cons; exact mem_cons_of_mem _ m]⟩
#align stream.seq.mem_cons_iff Stream'.Seq.mem_cons_iff
def destruct (s : Seq α) : Option (Seq1 α) :=
(fun a' => (a', s.tail)) <$> get? s 0
#align stream.seq.destruct Stream'.Seq.destruct
theorem destruct_eq_nil {s : Seq α} : destruct s = none → s = nil := by
dsimp [destruct]
induction' f0 : get? s 0 <;> intro h
· apply Subtype.eq
funext n
induction' n with n IH
exacts [f0, s.2 IH]
· contradiction
#align stream.seq.destruct_eq_nil Stream'.Seq.destruct_eq_nil
theorem destruct_eq_cons {s : Seq α} {a s'} : destruct s = some (a, s') → s = cons a s' := by
dsimp [destruct]
induction' f0 : get? s 0 with a' <;> intro h
· contradiction
· cases' s with f al
injections _ h1 h2
rw [← h2]
apply Subtype.eq
dsimp [tail, cons]
rw [h1] at f0
rw [← f0]
exact (Stream'.eta f).symm
#align stream.seq.destruct_eq_cons Stream'.Seq.destruct_eq_cons
@[simp]
theorem destruct_nil : destruct (nil : Seq α) = none :=
rfl
#align stream.seq.destruct_nil Stream'.Seq.destruct_nil
@[simp]
theorem destruct_cons (a : α) : ∀ s, destruct (cons a s) = some (a, s)
| ⟨f, al⟩ => by
unfold cons destruct Functor.map
apply congr_arg fun s => some (a, s)
apply Subtype.eq; dsimp [tail]
#align stream.seq.destruct_cons Stream'.Seq.destruct_cons
-- Porting note: needed universe annotation to avoid universe issues
| Mathlib/Data/Seq/Seq.lean | 245 | 246 | theorem head_eq_destruct (s : Seq α) : head.{u} s = Prod.fst.{u} <$> destruct.{u} s := by |
unfold destruct head; cases get? s 0 <;> rfl
|
import Mathlib.Algebra.Order.Ring.Cast
import Mathlib.Data.Int.Cast.Lemmas
import Mathlib.Data.Nat.Bitwise
import Mathlib.Data.Nat.PSub
import Mathlib.Data.Nat.Size
import Mathlib.Data.Num.Bitwise
#align_import data.num.lemmas from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2"
set_option linter.deprecated false
-- Porting note: Required for the notation `-[n+1]`.
open Int Function
attribute [local simp] add_assoc
namespace PosNum
variable {α : Type*}
@[simp, norm_cast]
theorem cast_one [One α] [Add α] : ((1 : PosNum) : α) = 1 :=
rfl
#align pos_num.cast_one PosNum.cast_one
@[simp]
theorem cast_one' [One α] [Add α] : (PosNum.one : α) = 1 :=
rfl
#align pos_num.cast_one' PosNum.cast_one'
@[simp, norm_cast]
theorem cast_bit0 [One α] [Add α] (n : PosNum) : (n.bit0 : α) = _root_.bit0 (n : α) :=
rfl
#align pos_num.cast_bit0 PosNum.cast_bit0
@[simp, norm_cast]
theorem cast_bit1 [One α] [Add α] (n : PosNum) : (n.bit1 : α) = _root_.bit1 (n : α) :=
rfl
#align pos_num.cast_bit1 PosNum.cast_bit1
@[simp, norm_cast]
theorem cast_to_nat [AddMonoidWithOne α] : ∀ n : PosNum, ((n : ℕ) : α) = n
| 1 => Nat.cast_one
| bit0 p => (Nat.cast_bit0 _).trans <| congr_arg _root_.bit0 p.cast_to_nat
| bit1 p => (Nat.cast_bit1 _).trans <| congr_arg _root_.bit1 p.cast_to_nat
#align pos_num.cast_to_nat PosNum.cast_to_nat
@[norm_cast] -- @[simp] -- Porting note (#10618): simp can prove this
theorem to_nat_to_int (n : PosNum) : ((n : ℕ) : ℤ) = n :=
cast_to_nat _
#align pos_num.to_nat_to_int PosNum.to_nat_to_int
@[simp, norm_cast]
theorem cast_to_int [AddGroupWithOne α] (n : PosNum) : ((n : ℤ) : α) = n := by
rw [← to_nat_to_int, Int.cast_natCast, cast_to_nat]
#align pos_num.cast_to_int PosNum.cast_to_int
theorem succ_to_nat : ∀ n, (succ n : ℕ) = n + 1
| 1 => rfl
| bit0 p => rfl
| bit1 p =>
(congr_arg _root_.bit0 (succ_to_nat p)).trans <|
show ↑p + 1 + ↑p + 1 = ↑p + ↑p + 1 + 1 by simp [add_left_comm]
#align pos_num.succ_to_nat PosNum.succ_to_nat
| Mathlib/Data/Num/Lemmas.lean | 81 | 81 | theorem one_add (n : PosNum) : 1 + n = succ n := by | cases n <;> rfl
|
import Mathlib.Algebra.CharZero.Lemmas
import Mathlib.Order.Interval.Finset.Basic
#align_import data.int.interval from "leanprover-community/mathlib"@"1d29de43a5ba4662dd33b5cfeecfc2a27a5a8a29"
open Finset Int
namespace Int
instance instLocallyFiniteOrder : LocallyFiniteOrder ℤ where
finsetIcc a b :=
(Finset.range (b + 1 - a).toNat).map <| Nat.castEmbedding.trans <| addLeftEmbedding a
finsetIco a b := (Finset.range (b - a).toNat).map <| Nat.castEmbedding.trans <| addLeftEmbedding a
finsetIoc a b :=
(Finset.range (b - a).toNat).map <| Nat.castEmbedding.trans <| addLeftEmbedding (a + 1)
finsetIoo a b :=
(Finset.range (b - a - 1).toNat).map <| Nat.castEmbedding.trans <| addLeftEmbedding (a + 1)
finset_mem_Icc a b x := by
simp_rw [mem_map, mem_range, Int.lt_toNat, Function.Embedding.trans_apply,
Nat.castEmbedding_apply, addLeftEmbedding_apply]
constructor
· rintro ⟨a, h, rfl⟩
rw [lt_sub_iff_add_lt, Int.lt_add_one_iff, add_comm] at h
exact ⟨Int.le.intro a rfl, h⟩
· rintro ⟨ha, hb⟩
use (x - a).toNat
rw [← lt_add_one_iff] at hb
rw [toNat_sub_of_le ha]
exact ⟨sub_lt_sub_right hb _, add_sub_cancel _ _⟩
finset_mem_Ico a b x := by
simp_rw [mem_map, mem_range, Int.lt_toNat, Function.Embedding.trans_apply,
Nat.castEmbedding_apply, addLeftEmbedding_apply]
constructor
· rintro ⟨a, h, rfl⟩
exact ⟨Int.le.intro a rfl, lt_sub_iff_add_lt'.mp h⟩
· rintro ⟨ha, hb⟩
use (x - a).toNat
rw [toNat_sub_of_le ha]
exact ⟨sub_lt_sub_right hb _, add_sub_cancel _ _⟩
finset_mem_Ioc a b x := by
simp_rw [mem_map, mem_range, Int.lt_toNat, Function.Embedding.trans_apply,
Nat.castEmbedding_apply, addLeftEmbedding_apply]
constructor
· rintro ⟨a, h, rfl⟩
rw [← add_one_le_iff, le_sub_iff_add_le', add_comm _ (1 : ℤ), ← add_assoc] at h
exact ⟨Int.le.intro a rfl, h⟩
· rintro ⟨ha, hb⟩
use (x - (a + 1)).toNat
rw [toNat_sub_of_le ha, ← add_one_le_iff, sub_add, add_sub_cancel_right]
exact ⟨sub_le_sub_right hb _, add_sub_cancel _ _⟩
finset_mem_Ioo a b x := by
simp_rw [mem_map, mem_range, Int.lt_toNat, Function.Embedding.trans_apply,
Nat.castEmbedding_apply, addLeftEmbedding_apply]
constructor
· rintro ⟨a, h, rfl⟩
rw [sub_sub, lt_sub_iff_add_lt'] at h
exact ⟨Int.le.intro a rfl, h⟩
· rintro ⟨ha, hb⟩
use (x - (a + 1)).toNat
rw [toNat_sub_of_le ha, sub_sub]
exact ⟨sub_lt_sub_right hb _, add_sub_cancel _ _⟩
variable (a b : ℤ)
theorem Icc_eq_finset_map :
Icc a b =
(Finset.range (b + 1 - a).toNat).map (Nat.castEmbedding.trans <| addLeftEmbedding a) :=
rfl
#align int.Icc_eq_finset_map Int.Icc_eq_finset_map
theorem Ico_eq_finset_map :
Ico a b = (Finset.range (b - a).toNat).map (Nat.castEmbedding.trans <| addLeftEmbedding a) :=
rfl
#align int.Ico_eq_finset_map Int.Ico_eq_finset_map
theorem Ioc_eq_finset_map :
Ioc a b =
(Finset.range (b - a).toNat).map (Nat.castEmbedding.trans <| addLeftEmbedding (a + 1)) :=
rfl
#align int.Ioc_eq_finset_map Int.Ioc_eq_finset_map
theorem Ioo_eq_finset_map :
Ioo a b =
(Finset.range (b - a - 1).toNat).map (Nat.castEmbedding.trans <| addLeftEmbedding (a + 1)) :=
rfl
#align int.Ioo_eq_finset_map Int.Ioo_eq_finset_map
theorem uIcc_eq_finset_map :
uIcc a b = (range (max a b + 1 - min a b).toNat).map
(Nat.castEmbedding.trans <| addLeftEmbedding <| min a b) := rfl
#align int.uIcc_eq_finset_map Int.uIcc_eq_finset_map
@[simp]
theorem card_Icc : (Icc a b).card = (b + 1 - a).toNat := (card_map _).trans <| card_range _
#align int.card_Icc Int.card_Icc
@[simp]
theorem card_Ico : (Ico a b).card = (b - a).toNat := (card_map _).trans <| card_range _
#align int.card_Ico Int.card_Ico
@[simp]
theorem card_Ioc : (Ioc a b).card = (b - a).toNat := (card_map _).trans <| card_range _
#align int.card_Ioc Int.card_Ioc
@[simp]
theorem card_Ioo : (Ioo a b).card = (b - a - 1).toNat := (card_map _).trans <| card_range _
#align int.card_Ioo Int.card_Ioo
@[simp]
theorem card_uIcc : (uIcc a b).card = (b - a).natAbs + 1 :=
(card_map _).trans <|
Int.ofNat.inj <| by
-- Porting note (#11215): TODO: Restore `int.coe_nat_inj` and remove the `change`
change ((↑) : ℕ → ℤ) _ = ((↑) : ℕ → ℤ) _
rw [card_range, sup_eq_max, inf_eq_min,
Int.toNat_of_nonneg (sub_nonneg_of_le <| le_add_one min_le_max), Int.ofNat_add,
Int.natCast_natAbs, add_comm, add_sub_assoc, max_sub_min_eq_abs, add_comm, Int.ofNat_one]
#align int.card_uIcc Int.card_uIcc
theorem card_Icc_of_le (h : a ≤ b + 1) : ((Icc a b).card : ℤ) = b + 1 - a := by
rw [card_Icc, toNat_sub_of_le h]
#align int.card_Icc_of_le Int.card_Icc_of_le
theorem card_Ico_of_le (h : a ≤ b) : ((Ico a b).card : ℤ) = b - a := by
rw [card_Ico, toNat_sub_of_le h]
#align int.card_Ico_of_le Int.card_Ico_of_le
| Mathlib/Data/Int/Interval.lean | 141 | 142 | theorem card_Ioc_of_le (h : a ≤ b) : ((Ioc a b).card : ℤ) = b - a := by |
rw [card_Ioc, toNat_sub_of_le h]
|
import Mathlib.Analysis.Calculus.Deriv.Inv
import Mathlib.Analysis.NormedSpace.BallAction
import Mathlib.Analysis.SpecialFunctions.ExpDeriv
import Mathlib.Analysis.InnerProductSpace.Calculus
import Mathlib.Analysis.InnerProductSpace.PiL2
import Mathlib.Geometry.Manifold.Algebra.LieGroup
import Mathlib.Geometry.Manifold.Instances.Real
import Mathlib.Geometry.Manifold.MFDeriv.Basic
#align_import geometry.manifold.instances.sphere from "leanprover-community/mathlib"@"0dc4079202c28226b2841a51eb6d3cc2135bb80f"
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E]
noncomputable section
open Metric FiniteDimensional Function
open scoped Manifold
section StereographicProjection
variable (v : E)
def stereoToFun (x : E) : (ℝ ∙ v)ᗮ :=
(2 / ((1 : ℝ) - innerSL ℝ v x)) • orthogonalProjection (ℝ ∙ v)ᗮ x
#align stereo_to_fun stereoToFun
variable {v}
@[simp]
theorem stereoToFun_apply (x : E) :
stereoToFun v x = (2 / ((1 : ℝ) - innerSL ℝ v x)) • orthogonalProjection (ℝ ∙ v)ᗮ x :=
rfl
#align stereo_to_fun_apply stereoToFun_apply
theorem contDiffOn_stereoToFun :
ContDiffOn ℝ ⊤ (stereoToFun v) {x : E | innerSL _ v x ≠ (1 : ℝ)} := by
refine ContDiffOn.smul ?_ (orthogonalProjection (ℝ ∙ v)ᗮ).contDiff.contDiffOn
refine contDiff_const.contDiffOn.div ?_ ?_
· exact (contDiff_const.sub (innerSL ℝ v).contDiff).contDiffOn
· intro x h h'
exact h (sub_eq_zero.mp h').symm
#align cont_diff_on_stereo_to_fun contDiffOn_stereoToFun
theorem continuousOn_stereoToFun :
ContinuousOn (stereoToFun v) {x : E | innerSL _ v x ≠ (1 : ℝ)} :=
contDiffOn_stereoToFun.continuousOn
#align continuous_on_stereo_to_fun continuousOn_stereoToFun
variable (v)
def stereoInvFunAux (w : E) : E :=
(‖w‖ ^ 2 + 4)⁻¹ • ((4 : ℝ) • w + (‖w‖ ^ 2 - 4) • v)
#align stereo_inv_fun_aux stereoInvFunAux
variable {v}
@[simp]
theorem stereoInvFunAux_apply (w : E) :
stereoInvFunAux v w = (‖w‖ ^ 2 + 4)⁻¹ • ((4 : ℝ) • w + (‖w‖ ^ 2 - 4) • v) :=
rfl
#align stereo_inv_fun_aux_apply stereoInvFunAux_apply
theorem stereoInvFunAux_mem (hv : ‖v‖ = 1) {w : E} (hw : w ∈ (ℝ ∙ v)ᗮ) :
stereoInvFunAux v w ∈ sphere (0 : E) 1 := by
have h₁ : (0 : ℝ) < ‖w‖ ^ 2 + 4 := by positivity
suffices ‖(4 : ℝ) • w + (‖w‖ ^ 2 - 4) • v‖ = ‖w‖ ^ 2 + 4 by
simp only [mem_sphere_zero_iff_norm, norm_smul, Real.norm_eq_abs, abs_inv, this,
abs_of_pos h₁, stereoInvFunAux_apply, inv_mul_cancel h₁.ne']
suffices ‖(4 : ℝ) • w + (‖w‖ ^ 2 - 4) • v‖ ^ 2 = (‖w‖ ^ 2 + 4) ^ 2 by
simpa [sq_eq_sq_iff_abs_eq_abs, abs_of_pos h₁] using this
rw [Submodule.mem_orthogonal_singleton_iff_inner_left] at hw
simp [norm_add_sq_real, norm_smul, inner_smul_left, inner_smul_right, hw, mul_pow,
Real.norm_eq_abs, hv]
ring
#align stereo_inv_fun_aux_mem stereoInvFunAux_mem
| Mathlib/Geometry/Manifold/Instances/Sphere.lean | 145 | 160 | theorem hasFDerivAt_stereoInvFunAux (v : E) :
HasFDerivAt (stereoInvFunAux v) (ContinuousLinearMap.id ℝ E) 0 := by |
have h₀ : HasFDerivAt (fun w : E => ‖w‖ ^ 2) (0 : E →L[ℝ] ℝ) 0 := by
convert (hasStrictFDerivAt_norm_sq (0 : E)).hasFDerivAt
simp
have h₁ : HasFDerivAt (fun w : E => (‖w‖ ^ 2 + 4)⁻¹) (0 : E →L[ℝ] ℝ) 0 := by
convert (hasFDerivAt_inv _).comp _ (h₀.add (hasFDerivAt_const 4 0)) <;> simp
have h₂ : HasFDerivAt (fun w => (4 : ℝ) • w + (‖w‖ ^ 2 - 4) • v)
((4 : ℝ) • ContinuousLinearMap.id ℝ E) 0 := by
convert ((hasFDerivAt_const (4 : ℝ) 0).smul (hasFDerivAt_id 0)).add
((h₀.sub (hasFDerivAt_const (4 : ℝ) 0)).smul (hasFDerivAt_const v 0)) using 1
ext w
simp
convert h₁.smul h₂ using 1
ext w
simp
|
import Mathlib.AlgebraicGeometry.AffineScheme
import Mathlib.AlgebraicGeometry.Pullbacks
import Mathlib.CategoryTheory.MorphismProperty.Limits
import Mathlib.Data.List.TFAE
#align_import algebraic_geometry.morphisms.basic from "leanprover-community/mathlib"@"434e2fd21c1900747afc6d13d8be7f4eedba7218"
set_option linter.uppercaseLean3 false
universe u
open TopologicalSpace CategoryTheory CategoryTheory.Limits Opposite
noncomputable section
namespace AlgebraicGeometry
def AffineTargetMorphismProperty :=
∀ ⦃X Y : Scheme⦄ (_ : X ⟶ Y) [IsAffine Y], Prop
#align algebraic_geometry.affine_target_morphism_property AlgebraicGeometry.AffineTargetMorphismProperty
protected def Scheme.isIso : MorphismProperty Scheme :=
@IsIso Scheme _
#align algebraic_geometry.Scheme.is_iso AlgebraicGeometry.Scheme.isIso
protected def Scheme.affineTargetIsIso : AffineTargetMorphismProperty := fun _ _ f _ => IsIso f
#align algebraic_geometry.Scheme.affine_target_is_iso AlgebraicGeometry.Scheme.affineTargetIsIso
instance : Inhabited AffineTargetMorphismProperty := ⟨Scheme.affineTargetIsIso⟩
def AffineTargetMorphismProperty.toProperty (P : AffineTargetMorphismProperty) :
MorphismProperty Scheme := fun _ _ f => ∃ h, @P _ _ f h
#align algebraic_geometry.affine_target_morphism_property.to_property AlgebraicGeometry.AffineTargetMorphismProperty.toProperty
theorem AffineTargetMorphismProperty.toProperty_apply (P : AffineTargetMorphismProperty)
{X Y : Scheme} (f : X ⟶ Y) [i : IsAffine Y] : P.toProperty f ↔ P f := by
delta AffineTargetMorphismProperty.toProperty; simp [*]
#align algebraic_geometry.affine_target_morphism_property.to_property_apply AlgebraicGeometry.AffineTargetMorphismProperty.toProperty_apply
theorem affine_cancel_left_isIso {P : AffineTargetMorphismProperty} (hP : P.toProperty.RespectsIso)
{X Y Z : Scheme} (f : X ⟶ Y) (g : Y ⟶ Z) [IsIso f] [IsAffine Z] : P (f ≫ g) ↔ P g := by
rw [← P.toProperty_apply, ← P.toProperty_apply, hP.cancel_left_isIso]
#align algebraic_geometry.affine_cancel_left_is_iso AlgebraicGeometry.affine_cancel_left_isIso
theorem affine_cancel_right_isIso {P : AffineTargetMorphismProperty} (hP : P.toProperty.RespectsIso)
{X Y Z : Scheme} (f : X ⟶ Y) (g : Y ⟶ Z) [IsIso g] [IsAffine Z] [IsAffine Y] :
P (f ≫ g) ↔ P f := by rw [← P.toProperty_apply, ← P.toProperty_apply, hP.cancel_right_isIso]
#align algebraic_geometry.affine_cancel_right_is_iso AlgebraicGeometry.affine_cancel_right_isIso
theorem AffineTargetMorphismProperty.respectsIso_mk {P : AffineTargetMorphismProperty}
(h₁ : ∀ {X Y Z} (e : X ≅ Y) (f : Y ⟶ Z) [IsAffine Z], P f → P (e.hom ≫ f))
(h₂ : ∀ {X Y Z} (e : Y ≅ Z) (f : X ⟶ Y) [h : IsAffine Y],
P f → @P _ _ (f ≫ e.hom) (isAffineOfIso e.inv)) :
P.toProperty.RespectsIso := by
constructor
· rintro X Y Z e f ⟨a, h⟩; exact ⟨a, h₁ e f h⟩
· rintro X Y Z e f ⟨a, h⟩; exact ⟨isAffineOfIso e.inv, h₂ e f h⟩
#align algebraic_geometry.affine_target_morphism_property.respects_iso_mk AlgebraicGeometry.AffineTargetMorphismProperty.respectsIso_mk
def targetAffineLocally (P : AffineTargetMorphismProperty) : MorphismProperty Scheme :=
fun {X Y : Scheme} (f : X ⟶ Y) => ∀ U : Y.affineOpens, @P _ _ (f ∣_ U) U.prop
#align algebraic_geometry.target_affine_locally AlgebraicGeometry.targetAffineLocally
theorem IsAffineOpen.map_isIso {X Y : Scheme} {U : Opens Y.carrier} (hU : IsAffineOpen U)
(f : X ⟶ Y) [IsIso f] : IsAffineOpen ((Opens.map f.1.base).obj U) :=
haveI : IsAffine _ := hU
isAffineOfIso (f ∣_ U)
#align algebraic_geometry.is_affine_open.map_is_iso AlgebraicGeometry.IsAffineOpen.map_isIso
| Mathlib/AlgebraicGeometry/Morphisms/Basic.lean | 131 | 141 | theorem targetAffineLocally_respectsIso {P : AffineTargetMorphismProperty}
(hP : P.toProperty.RespectsIso) : (targetAffineLocally P).RespectsIso := by |
constructor
· introv H U
rw [morphismRestrict_comp, affine_cancel_left_isIso hP]
exact H U
· introv H
rintro ⟨U, hU : IsAffineOpen U⟩; dsimp
haveI : IsAffine _ := hU.map_isIso e.hom
rw [morphismRestrict_comp, affine_cancel_right_isIso hP]
exact H ⟨(Opens.map e.hom.val.base).obj U, hU.map_isIso e.hom⟩
|
import Mathlib.Algebra.Polynomial.Reverse
import Mathlib.Algebra.Regular.SMul
#align_import data.polynomial.monic from "leanprover-community/mathlib"@"cbdf7b565832144d024caa5a550117c6df0204a5"
noncomputable section
open Finset
open Polynomial
namespace Polynomial
universe u v y
variable {R : Type u} {S : Type v} {a b : R} {m n : ℕ} {ι : Type y}
section Semiring
variable [Semiring R] {p q r : R[X]}
theorem monic_zero_iff_subsingleton : Monic (0 : R[X]) ↔ Subsingleton R :=
subsingleton_iff_zero_eq_one
#align polynomial.monic_zero_iff_subsingleton Polynomial.monic_zero_iff_subsingleton
theorem not_monic_zero_iff : ¬Monic (0 : R[X]) ↔ (0 : R) ≠ 1 :=
(monic_zero_iff_subsingleton.trans subsingleton_iff_zero_eq_one.symm).not
#align polynomial.not_monic_zero_iff Polynomial.not_monic_zero_iff
theorem monic_zero_iff_subsingleton' :
Monic (0 : R[X]) ↔ (∀ f g : R[X], f = g) ∧ ∀ a b : R, a = b :=
Polynomial.monic_zero_iff_subsingleton.trans
⟨by
intro
simp [eq_iff_true_of_subsingleton], fun h => subsingleton_iff.mpr h.2⟩
#align polynomial.monic_zero_iff_subsingleton' Polynomial.monic_zero_iff_subsingleton'
theorem Monic.as_sum (hp : p.Monic) :
p = X ^ p.natDegree + ∑ i ∈ range p.natDegree, C (p.coeff i) * X ^ i := by
conv_lhs => rw [p.as_sum_range_C_mul_X_pow, sum_range_succ_comm]
suffices C (p.coeff p.natDegree) = 1 by rw [this, one_mul]
exact congr_arg C hp
#align polynomial.monic.as_sum Polynomial.Monic.as_sum
theorem ne_zero_of_ne_zero_of_monic (hp : p ≠ 0) (hq : Monic q) : q ≠ 0 := by
rintro rfl
rw [Monic.def, leadingCoeff_zero] at hq
rw [← mul_one p, ← C_1, ← hq, C_0, mul_zero] at hp
exact hp rfl
#align polynomial.ne_zero_of_ne_zero_of_monic Polynomial.ne_zero_of_ne_zero_of_monic
| Mathlib/Algebra/Polynomial/Monic.lean | 65 | 73 | theorem Monic.map [Semiring S] (f : R →+* S) (hp : Monic p) : Monic (p.map f) := by |
unfold Monic
nontriviality
have : f p.leadingCoeff ≠ 0 := by
rw [show _ = _ from hp, f.map_one]
exact one_ne_zero
rw [Polynomial.leadingCoeff, coeff_map]
suffices p.coeff (p.map f).natDegree = 1 by simp [this]
rwa [natDegree_eq_of_degree_eq (degree_map_eq_of_leadingCoeff_ne_zero f this)]
|
import Mathlib.Data.ZMod.Basic
import Mathlib.GroupTheory.Coxeter.Basic
namespace CoxeterSystem
open List Matrix Function Classical
variable {B : Type*}
variable {W : Type*} [Group W]
variable {M : CoxeterMatrix B} (cs : CoxeterSystem M W)
local prefix:100 "s" => cs.simple
local prefix:100 "π" => cs.wordProd
private theorem exists_word_with_prod (w : W) : ∃ n ω, ω.length = n ∧ π ω = w := by
rcases cs.wordProd_surjective w with ⟨ω, rfl⟩
use ω.length, ω
noncomputable def length (w : W) : ℕ := Nat.find (cs.exists_word_with_prod w)
local prefix:100 "ℓ" => cs.length
theorem exists_reduced_word (w : W) : ∃ ω, ω.length = ℓ w ∧ w = π ω := by
have := Nat.find_spec (cs.exists_word_with_prod w)
tauto
theorem length_wordProd_le (ω : List B) : ℓ (π ω) ≤ ω.length :=
Nat.find_min' (cs.exists_word_with_prod (π ω)) ⟨ω, by tauto⟩
@[simp] theorem length_one : ℓ (1 : W) = 0 := Nat.eq_zero_of_le_zero (cs.length_wordProd_le [])
@[simp]
theorem length_eq_zero_iff {w : W} : ℓ w = 0 ↔ w = 1 := by
constructor
· intro h
rcases cs.exists_reduced_word w with ⟨ω, hω, rfl⟩
have : ω = [] := eq_nil_of_length_eq_zero (hω.trans h)
rw [this, wordProd_nil]
· rintro rfl
exact cs.length_one
@[simp]
theorem length_inv (w : W) : ℓ (w⁻¹) = ℓ w := by
apply Nat.le_antisymm
· rcases cs.exists_reduced_word w with ⟨ω, hω, rfl⟩
have := cs.length_wordProd_le (List.reverse ω)
rwa [wordProd_reverse, length_reverse, hω] at this
· rcases cs.exists_reduced_word w⁻¹ with ⟨ω, hω, h'ω⟩
have := cs.length_wordProd_le (List.reverse ω)
rwa [wordProd_reverse, length_reverse, ← h'ω, hω, inv_inv] at this
theorem length_mul_le (w₁ w₂ : W) :
ℓ (w₁ * w₂) ≤ ℓ w₁ + ℓ w₂ := by
rcases cs.exists_reduced_word w₁ with ⟨ω₁, hω₁, rfl⟩
rcases cs.exists_reduced_word w₂ with ⟨ω₂, hω₂, rfl⟩
have := cs.length_wordProd_le (ω₁ ++ ω₂)
simpa [hω₁, hω₂, wordProd_append] using this
theorem length_mul_ge_length_sub_length (w₁ w₂ : W) :
ℓ w₁ - ℓ w₂ ≤ ℓ (w₁ * w₂) := by
simpa [Nat.sub_le_of_le_add] using cs.length_mul_le (w₁ * w₂) w₂⁻¹
theorem length_mul_ge_length_sub_length' (w₁ w₂ : W) :
ℓ w₂ - ℓ w₁ ≤ ℓ (w₁ * w₂) := by
simpa [Nat.sub_le_of_le_add, add_comm] using cs.length_mul_le w₁⁻¹ (w₁ * w₂)
theorem length_mul_ge_max (w₁ w₂ : W) :
max (ℓ w₁ - ℓ w₂) (ℓ w₂ - ℓ w₁) ≤ ℓ (w₁ * w₂) :=
max_le_iff.mpr ⟨length_mul_ge_length_sub_length _ _ _, length_mul_ge_length_sub_length' _ _ _⟩
def lengthParity : W →* Multiplicative (ZMod 2) := cs.lift ⟨fun _ ↦ Multiplicative.ofAdd 1, by
simp_rw [CoxeterMatrix.IsLiftable, ← ofAdd_add, (by decide : (1 + 1 : ZMod 2) = 0)]
simp⟩
theorem lengthParity_simple (i : B):
cs.lengthParity (s i) = Multiplicative.ofAdd 1 := cs.lift_apply_simple _ _
theorem lengthParity_comp_simple :
cs.lengthParity ∘ cs.simple = fun _ ↦ Multiplicative.ofAdd 1 := funext cs.lengthParity_simple
theorem lengthParity_eq_ofAdd_length (w : W) :
cs.lengthParity w = Multiplicative.ofAdd (↑(ℓ w)) := by
rcases cs.exists_reduced_word w with ⟨ω, hω, rfl⟩
rw [← hω, wordProd, map_list_prod, List.map_map, lengthParity_comp_simple, map_const',
prod_replicate, ← ofAdd_nsmul, nsmul_one]
theorem length_mul_mod_two (w₁ w₂ : W) : ℓ (w₁ * w₂) % 2 = (ℓ w₁ + ℓ w₂) % 2 := by
rw [← ZMod.natCast_eq_natCast_iff', Nat.cast_add]
simpa only [lengthParity_eq_ofAdd_length, ofAdd_add] using map_mul cs.lengthParity w₁ w₂
@[simp]
theorem length_simple (i : B) : ℓ (s i) = 1 := by
apply Nat.le_antisymm
· simpa using cs.length_wordProd_le [i]
· by_contra! length_lt_one
have : cs.lengthParity (s i) = Multiplicative.ofAdd 0 := by
rw [lengthParity_eq_ofAdd_length, Nat.lt_one_iff.mp length_lt_one, Nat.cast_zero]
have : Multiplicative.ofAdd (0 : ZMod 2) = Multiplicative.ofAdd 1 :=
this.symm.trans (cs.lengthParity_simple i)
contradiction
theorem length_eq_one_iff {w : W} : ℓ w = 1 ↔ ∃ i : B, w = s i := by
constructor
· intro h
rcases cs.exists_reduced_word w with ⟨ω, hω, rfl⟩
rcases List.length_eq_one.mp (hω.trans h) with ⟨i, rfl⟩
exact ⟨i, cs.wordProd_singleton i⟩
· rintro ⟨i, rfl⟩
exact cs.length_simple i
theorem length_mul_simple_ne (w : W) (i : B) : ℓ (w * s i) ≠ ℓ w := by
intro eq
have length_mod_two := cs.length_mul_mod_two w (s i)
rw [eq, length_simple] at length_mod_two
rcases Nat.mod_two_eq_zero_or_one (ℓ w) with even | odd
· rw [even, Nat.succ_mod_two_eq_one_iff.mpr even] at length_mod_two
contradiction
· rw [odd, Nat.succ_mod_two_eq_zero_iff.mpr odd] at length_mod_two
contradiction
theorem length_simple_mul_ne (w : W) (i : B) : ℓ (s i * w) ≠ ℓ w := by
convert cs.length_mul_simple_ne w⁻¹ i using 1
· convert cs.length_inv ?_ using 2
simp
· simp
theorem length_mul_simple (w : W) (i : B) :
ℓ (w * s i) = ℓ w + 1 ∨ ℓ (w * s i) + 1 = ℓ w := by
rcases Nat.lt_or_gt_of_ne (cs.length_mul_simple_ne w i) with lt | gt
· -- lt : ℓ (w * s i) < ℓ w
right
have length_ge := cs.length_mul_ge_length_sub_length w (s i)
simp only [length_simple, tsub_le_iff_right] at length_ge
-- length_ge : ℓ w ≤ ℓ (w * s i) + 1
linarith
· -- gt : ℓ w < ℓ (w * s i)
left
have length_le := cs.length_mul_le w (s i)
simp only [length_simple] at length_le
-- length_le : ℓ (w * s i) ≤ ℓ w + 1
linarith
theorem length_simple_mul (w : W) (i : B) :
ℓ (s i * w) = ℓ w + 1 ∨ ℓ (s i * w) + 1 = ℓ w := by
have := cs.length_mul_simple w⁻¹ i
rwa [(by simp : w⁻¹ * (s i) = ((s i) * w)⁻¹), length_inv, length_inv] at this
def IsReduced (ω : List B) : Prop := ℓ (π ω) = ω.length
@[simp]
theorem isReduced_reverse (ω : List B) : cs.IsReduced (ω.reverse) ↔ cs.IsReduced ω := by
simp [IsReduced]
theorem exists_reduced_word' (w : W) : ∃ ω : List B, cs.IsReduced ω ∧ w = π ω := by
rcases cs.exists_reduced_word w with ⟨ω, hω, rfl⟩
use ω
tauto
private theorem isReduced_take_and_drop {ω : List B} (hω : cs.IsReduced ω) (j : ℕ) :
cs.IsReduced (ω.take j) ∧ cs.IsReduced (ω.drop j) := by
have h₁ : ℓ (π (ω.take j)) ≤ (ω.take j).length := cs.length_wordProd_le (ω.take j)
have h₂ : ℓ (π (ω.drop j)) ≤ (ω.drop j).length := cs.length_wordProd_le (ω.drop j)
have h₃ := calc
(ω.take j).length + (ω.drop j).length
_ = ω.length := by rw [← List.length_append, ω.take_append_drop j];
_ = ℓ (π ω) := hω.symm
_ = ℓ (π (ω.take j) * π (ω.drop j)) := by rw [← cs.wordProd_append, ω.take_append_drop j];
_ ≤ ℓ (π (ω.take j)) + ℓ (π (ω.drop j)) := cs.length_mul_le _ _
unfold IsReduced
exact ⟨by linarith, by linarith⟩
theorem isReduced_take {ω : List B} (hω : cs.IsReduced ω) (j : ℕ) : cs.IsReduced (ω.take j) :=
(isReduced_take_and_drop _ hω _).1
theorem isReduced_drop {ω : List B} (hω : cs.IsReduced ω) (j : ℕ) : cs.IsReduced (ω.drop j) :=
(isReduced_take_and_drop _ hω _).2
theorem not_isReduced_alternatingWord (i i' : B) {m : ℕ} (hM : M i i' ≠ 0) (hm : m > M i i') :
¬cs.IsReduced (alternatingWord i i' m) := by
induction' hm with m _ ih
· -- Base case; m = M i i' + 1
suffices h : ℓ (π (alternatingWord i i' (M i i' + 1))) < M i i' + 1 by
unfold IsReduced
rw [Nat.succ_eq_add_one, length_alternatingWord]
linarith
have : M i i' + 1 ≤ M i i' * 2 := by linarith [Nat.one_le_iff_ne_zero.mpr hM]
rw [cs.prod_alternatingWord_eq_prod_alternatingWord_sub i i' _ this]
have : M i i' * 2 - (M i i' + 1) = M i i' - 1 := by
apply (Nat.sub_eq_iff_eq_add' this).mpr
rw [add_assoc, add_comm 1, Nat.sub_add_cancel (Nat.one_le_iff_ne_zero.mpr hM)]
exact mul_two _
rw [this]
calc
ℓ (π (alternatingWord i' i (M i i' - 1)))
_ ≤ (alternatingWord i' i (M i i' - 1)).length := cs.length_wordProd_le _
_ = M i i' - 1 := length_alternatingWord _ _ _
_ ≤ M i i' := Nat.sub_le _ _
_ < M i i' + 1 := Nat.lt_succ_self _
· -- Inductive step
contrapose! ih
rw [alternatingWord_succ'] at ih
apply isReduced_drop (j := 1) at ih
simpa using ih
def IsLeftDescent (w : W) (i : B) : Prop := ℓ (s i * w) < ℓ w
def IsRightDescent (w : W) (i : B) : Prop := ℓ (w * s i) < ℓ w
theorem not_isLeftDescent_one (i : B) : ¬cs.IsLeftDescent 1 i := by simp [IsLeftDescent]
| Mathlib/GroupTheory/Coxeter/Length.lean | 269 | 269 | theorem not_isRightDescent_one (i : B) : ¬cs.IsRightDescent 1 i := by | simp [IsRightDescent]
|
import Mathlib.CategoryTheory.Limits.Preserves.Basic
#align_import category_theory.limits.preserves.limits from "leanprover-community/mathlib"@"e97cf15cd1aec9bd5c193b2ffac5a6dc9118912b"
universe w' w v₁ v₂ u₁ u₂
noncomputable section
namespace CategoryTheory
open Category Limits
variable {C : Type u₁} [Category.{v₁} C]
variable {D : Type u₂} [Category.{v₂} D]
variable (G : C ⥤ D)
variable {J : Type w} [Category.{w'} J]
variable (F : J ⥤ C)
section
variable [PreservesLimit F G]
@[simp]
theorem preserves_lift_mapCone (c₁ c₂ : Cone F) (t : IsLimit c₁) :
(PreservesLimit.preserves t).lift (G.mapCone c₂) = G.map (t.lift c₂) :=
((PreservesLimit.preserves t).uniq (G.mapCone c₂) _ (by simp [← G.map_comp])).symm
#align category_theory.preserves_lift_map_cone CategoryTheory.preserves_lift_mapCone
variable [HasLimit F]
def preservesLimitIso : G.obj (limit F) ≅ limit (F ⋙ G) :=
(PreservesLimit.preserves (limit.isLimit _)).conePointUniqueUpToIso (limit.isLimit _)
#align category_theory.preserves_limit_iso CategoryTheory.preservesLimitIso
@[reassoc (attr := simp)]
theorem preservesLimitsIso_hom_π (j) :
(preservesLimitIso G F).hom ≫ limit.π _ j = G.map (limit.π F j) :=
IsLimit.conePointUniqueUpToIso_hom_comp _ _ j
#align category_theory.preserves_limits_iso_hom_π CategoryTheory.preservesLimitsIso_hom_π
@[reassoc (attr := simp)]
theorem preservesLimitsIso_inv_π (j) :
(preservesLimitIso G F).inv ≫ G.map (limit.π F j) = limit.π _ j :=
IsLimit.conePointUniqueUpToIso_inv_comp _ _ j
#align category_theory.preserves_limits_iso_inv_π CategoryTheory.preservesLimitsIso_inv_π
@[reassoc (attr := simp)]
theorem lift_comp_preservesLimitsIso_hom (t : Cone F) :
G.map (limit.lift _ t) ≫ (preservesLimitIso G F).hom =
limit.lift (F ⋙ G) (G.mapCone _) := by
ext
simp [← G.map_comp]
#align category_theory.lift_comp_preserves_limits_iso_hom CategoryTheory.lift_comp_preservesLimitsIso_hom
instance : IsIso (limit.post F G) :=
show IsIso (preservesLimitIso G F).hom from inferInstance
variable [PreservesLimitsOfShape J G] [HasLimitsOfShape J D] [HasLimitsOfShape J C]
@[simps!]
def preservesLimitNatIso : lim ⋙ G ≅ (whiskeringRight J C D).obj G ⋙ lim :=
NatIso.ofComponents (fun F => preservesLimitIso G F)
(by
intro _ _ f
apply limit.hom_ext; intro j
dsimp
simp only [preservesLimitsIso_hom_π, whiskerRight_app, limMap_π, Category.assoc,
preservesLimitsIso_hom_π_assoc, ← G.map_comp])
#align category_theory.preserves_limit_nat_iso CategoryTheory.preservesLimitNatIso
end
section
variable [HasLimit F] [HasLimit (F ⋙ G)]
def preservesLimitOfIsIsoPost [IsIso (limit.post F G)] : PreservesLimit F G :=
preservesLimitOfPreservesLimitCone (limit.isLimit F) (by
convert IsLimit.ofPointIso (limit.isLimit (F ⋙ G))
assumption)
end
section
variable [PreservesColimit F G]
@[simp]
theorem preserves_desc_mapCocone (c₁ c₂ : Cocone F) (t : IsColimit c₁) :
(PreservesColimit.preserves t).desc (G.mapCocone _) = G.map (t.desc c₂) :=
((PreservesColimit.preserves t).uniq (G.mapCocone _) _ (by simp [← G.map_comp])).symm
#align category_theory.preserves_desc_map_cocone CategoryTheory.preserves_desc_mapCocone
variable [HasColimit F]
-- TODO: think about swapping the order here
def preservesColimitIso : G.obj (colimit F) ≅ colimit (F ⋙ G) :=
(PreservesColimit.preserves (colimit.isColimit _)).coconePointUniqueUpToIso (colimit.isColimit _)
#align category_theory.preserves_colimit_iso CategoryTheory.preservesColimitIso
@[reassoc (attr := simp)]
theorem ι_preservesColimitsIso_inv (j : J) :
colimit.ι _ j ≫ (preservesColimitIso G F).inv = G.map (colimit.ι F j) :=
IsColimit.comp_coconePointUniqueUpToIso_inv _ (colimit.isColimit (F ⋙ G)) j
#align category_theory.ι_preserves_colimits_iso_inv CategoryTheory.ι_preservesColimitsIso_inv
@[reassoc (attr := simp)]
theorem ι_preservesColimitsIso_hom (j : J) :
G.map (colimit.ι F j) ≫ (preservesColimitIso G F).hom = colimit.ι (F ⋙ G) j :=
(PreservesColimit.preserves (colimit.isColimit _)).comp_coconePointUniqueUpToIso_hom _ j
#align category_theory.ι_preserves_colimits_iso_hom CategoryTheory.ι_preservesColimitsIso_hom
@[reassoc (attr := simp)]
| Mathlib/CategoryTheory/Limits/Preserves/Limits.lean | 142 | 146 | theorem preservesColimitsIso_inv_comp_desc (t : Cocone F) :
(preservesColimitIso G F).inv ≫ G.map (colimit.desc _ t) =
colimit.desc _ (G.mapCocone t) := by |
ext
simp [← G.map_comp]
|
import Mathlib.RingTheory.RingHomProperties
import Mathlib.RingTheory.IntegralClosure
#align_import ring_theory.ring_hom.integral from "leanprover-community/mathlib"@"a7c017d750512a352b623b1824d75da5998457d0"
namespace RingHom
open scoped TensorProduct
open TensorProduct Algebra.TensorProduct
| Mathlib/RingTheory/RingHom/Integral.lean | 24 | 25 | theorem isIntegral_stableUnderComposition : StableUnderComposition fun f => f.IsIntegral := by |
introv R hf hg; exact hf.trans _ _ hg
|
import Mathlib.Algebra.Module.Equiv
import Mathlib.Algebra.Module.Submodule.Basic
import Mathlib.Algebra.PUnitInstances
import Mathlib.Data.Set.Subsingleton
#align_import algebra.module.submodule.lattice from "leanprover-community/mathlib"@"f7fc89d5d5ff1db2d1242c7bb0e9062ce47ef47c"
universe v
variable {R S M : Type*}
section AddCommMonoid
variable [Semiring R] [Semiring S] [AddCommMonoid M] [Module R M] [Module S M]
variable [SMul S R] [IsScalarTower S R M]
variable {p q : Submodule R M}
namespace Submodule
instance : Bot (Submodule R M) :=
⟨{ (⊥ : AddSubmonoid M) with
carrier := {0}
smul_mem' := by simp }⟩
instance inhabited' : Inhabited (Submodule R M) :=
⟨⊥⟩
#align submodule.inhabited' Submodule.inhabited'
@[simp]
theorem bot_coe : ((⊥ : Submodule R M) : Set M) = {0} :=
rfl
#align submodule.bot_coe Submodule.bot_coe
@[simp]
theorem bot_toAddSubmonoid : (⊥ : Submodule R M).toAddSubmonoid = ⊥ :=
rfl
#align submodule.bot_to_add_submonoid Submodule.bot_toAddSubmonoid
@[simp]
lemma bot_toAddSubgroup {R M} [Ring R] [AddCommGroup M] [Module R M] :
(⊥ : Submodule R M).toAddSubgroup = ⊥ := rfl
variable (R) in
@[simp]
theorem mem_bot {x : M} : x ∈ (⊥ : Submodule R M) ↔ x = 0 :=
Set.mem_singleton_iff
#align submodule.mem_bot Submodule.mem_bot
instance uniqueBot : Unique (⊥ : Submodule R M) :=
⟨inferInstance, fun x ↦ Subtype.ext <| (mem_bot R).1 x.mem⟩
#align submodule.unique_bot Submodule.uniqueBot
instance : OrderBot (Submodule R M) where
bot := ⊥
bot_le p x := by simp (config := { contextual := true }) [zero_mem]
protected theorem eq_bot_iff (p : Submodule R M) : p = ⊥ ↔ ∀ x ∈ p, x = (0 : M) :=
⟨fun h ↦ h.symm ▸ fun _ hx ↦ (mem_bot R).mp hx,
fun h ↦ eq_bot_iff.mpr fun x hx ↦ (mem_bot R).mpr (h x hx)⟩
#align submodule.eq_bot_iff Submodule.eq_bot_iff
@[ext high]
protected theorem bot_ext (x y : (⊥ : Submodule R M)) : x = y := by
rcases x with ⟨x, xm⟩; rcases y with ⟨y, ym⟩; congr
rw [(Submodule.eq_bot_iff _).mp rfl x xm]
rw [(Submodule.eq_bot_iff _).mp rfl y ym]
#align submodule.bot_ext Submodule.bot_ext
protected theorem ne_bot_iff (p : Submodule R M) : p ≠ ⊥ ↔ ∃ x ∈ p, x ≠ (0 : M) := by
simp only [ne_eq, p.eq_bot_iff, not_forall, exists_prop]
#align submodule.ne_bot_iff Submodule.ne_bot_iff
theorem nonzero_mem_of_bot_lt {p : Submodule R M} (bot_lt : ⊥ < p) : ∃ a : p, a ≠ 0 :=
let ⟨b, hb₁, hb₂⟩ := p.ne_bot_iff.mp bot_lt.ne'
⟨⟨b, hb₁⟩, hb₂ ∘ congr_arg Subtype.val⟩
#align submodule.nonzero_mem_of_bot_lt Submodule.nonzero_mem_of_bot_lt
theorem exists_mem_ne_zero_of_ne_bot {p : Submodule R M} (h : p ≠ ⊥) : ∃ b : M, b ∈ p ∧ b ≠ 0 :=
let ⟨b, hb₁, hb₂⟩ := p.ne_bot_iff.mp h
⟨b, hb₁, hb₂⟩
#align submodule.exists_mem_ne_zero_of_ne_bot Submodule.exists_mem_ne_zero_of_ne_bot
-- FIXME: we default PUnit to PUnit.{1} here without the explicit universe annotation
@[simps]
def botEquivPUnit : (⊥ : Submodule R M) ≃ₗ[R] PUnit.{v+1} where
toFun _ := PUnit.unit
invFun _ := 0
map_add' _ _ := rfl
map_smul' _ _ := rfl
left_inv _ := Subsingleton.elim _ _
right_inv _ := rfl
#align submodule.bot_equiv_punit Submodule.botEquivPUnit
theorem subsingleton_iff_eq_bot : Subsingleton p ↔ p = ⊥ := by
rw [subsingleton_iff, Submodule.eq_bot_iff]
refine ⟨fun h x hx ↦ by simpa using h ⟨x, hx⟩ ⟨0, p.zero_mem⟩,
fun h ⟨x, hx⟩ ⟨y, hy⟩ ↦ by simp [h x hx, h y hy]⟩
theorem eq_bot_of_subsingleton [Subsingleton p] : p = ⊥ :=
subsingleton_iff_eq_bot.mp inferInstance
#align submodule.eq_bot_of_subsingleton Submodule.eq_bot_of_subsingleton
theorem nontrivial_iff_ne_bot : Nontrivial p ↔ p ≠ ⊥ := by
rw [iff_not_comm, not_nontrivial_iff_subsingleton, subsingleton_iff_eq_bot]
instance : Top (Submodule R M) :=
⟨{ (⊤ : AddSubmonoid M) with
carrier := Set.univ
smul_mem' := fun _ _ _ ↦ trivial }⟩
@[simp]
theorem top_coe : ((⊤ : Submodule R M) : Set M) = Set.univ :=
rfl
#align submodule.top_coe Submodule.top_coe
@[simp]
theorem top_toAddSubmonoid : (⊤ : Submodule R M).toAddSubmonoid = ⊤ :=
rfl
#align submodule.top_to_add_submonoid Submodule.top_toAddSubmonoid
@[simp]
lemma top_toAddSubgroup {R M} [Ring R] [AddCommGroup M] [Module R M] :
(⊤ : Submodule R M).toAddSubgroup = ⊤ := rfl
@[simp]
theorem mem_top {x : M} : x ∈ (⊤ : Submodule R M) :=
trivial
#align submodule.mem_top Submodule.mem_top
instance : OrderTop (Submodule R M) where
top := ⊤
le_top _ _ _ := trivial
theorem eq_top_iff' {p : Submodule R M} : p = ⊤ ↔ ∀ x, x ∈ p :=
eq_top_iff.trans ⟨fun h _ ↦ h trivial, fun h x _ ↦ h x⟩
#align submodule.eq_top_iff' Submodule.eq_top_iff'
@[simps]
def topEquiv : (⊤ : Submodule R M) ≃ₗ[R] M where
toFun x := x
invFun x := ⟨x, mem_top⟩
map_add' _ _ := rfl
map_smul' _ _ := rfl
left_inv _ := rfl
right_inv _ := rfl
#align submodule.top_equiv Submodule.topEquiv
instance : InfSet (Submodule R M) :=
⟨fun S ↦
{ carrier := ⋂ s ∈ S, (s : Set M)
zero_mem' := by simp [zero_mem]
add_mem' := by simp (config := { contextual := true }) [add_mem]
smul_mem' := by simp (config := { contextual := true }) [smul_mem] }⟩
private theorem sInf_le' {S : Set (Submodule R M)} {p} : p ∈ S → sInf S ≤ p :=
Set.biInter_subset_of_mem
private theorem le_sInf' {S : Set (Submodule R M)} {p} : (∀ q ∈ S, p ≤ q) → p ≤ sInf S :=
Set.subset_iInter₂
instance : Inf (Submodule R M) :=
⟨fun p q ↦
{ carrier := p ∩ q
zero_mem' := by simp [zero_mem]
add_mem' := by simp (config := { contextual := true }) [add_mem]
smul_mem' := by simp (config := { contextual := true }) [smul_mem] }⟩
instance completeLattice : CompleteLattice (Submodule R M) :=
{ (inferInstance : OrderTop (Submodule R M)),
(inferInstance : OrderBot (Submodule R M)) with
sup := fun a b ↦ sInf { x | a ≤ x ∧ b ≤ x }
le_sup_left := fun _ _ ↦ le_sInf' fun _ ⟨h, _⟩ ↦ h
le_sup_right := fun _ _ ↦ le_sInf' fun _ ⟨_, h⟩ ↦ h
sup_le := fun _ _ _ h₁ h₂ ↦ sInf_le' ⟨h₁, h₂⟩
inf := (· ⊓ ·)
le_inf := fun _ _ _ ↦ Set.subset_inter
inf_le_left := fun _ _ ↦ Set.inter_subset_left
inf_le_right := fun _ _ ↦ Set.inter_subset_right
le_sSup := fun _ _ hs ↦ le_sInf' fun _ hq ↦ by exact hq _ hs
sSup_le := fun _ _ hs ↦ sInf_le' hs
le_sInf := fun _ _ ↦ le_sInf'
sInf_le := fun _ _ ↦ sInf_le' }
#align submodule.complete_lattice Submodule.completeLattice
@[simp]
theorem inf_coe : ↑(p ⊓ q) = (p ∩ q : Set M) :=
rfl
#align submodule.inf_coe Submodule.inf_coe
@[simp]
theorem mem_inf {p q : Submodule R M} {x : M} : x ∈ p ⊓ q ↔ x ∈ p ∧ x ∈ q :=
Iff.rfl
#align submodule.mem_inf Submodule.mem_inf
@[simp]
theorem sInf_coe (P : Set (Submodule R M)) : (↑(sInf P) : Set M) = ⋂ p ∈ P, ↑p :=
rfl
#align submodule.Inf_coe Submodule.sInf_coe
@[simp]
theorem finset_inf_coe {ι} (s : Finset ι) (p : ι → Submodule R M) :
(↑(s.inf p) : Set M) = ⋂ i ∈ s, ↑(p i) := by
letI := Classical.decEq ι
refine s.induction_on ?_ fun i s _ ih ↦ ?_
· simp
· rw [Finset.inf_insert, inf_coe, ih]
simp
#align submodule.finset_inf_coe Submodule.finset_inf_coe
@[simp]
theorem iInf_coe {ι} (p : ι → Submodule R M) : (↑(⨅ i, p i) : Set M) = ⋂ i, ↑(p i) := by
rw [iInf, sInf_coe]; simp only [Set.mem_range, Set.iInter_exists, Set.iInter_iInter_eq']
#align submodule.infi_coe Submodule.iInf_coe
@[simp]
theorem mem_sInf {S : Set (Submodule R M)} {x : M} : x ∈ sInf S ↔ ∀ p ∈ S, x ∈ p :=
Set.mem_iInter₂
#align submodule.mem_Inf Submodule.mem_sInf
@[simp]
theorem mem_iInf {ι} (p : ι → Submodule R M) {x} : (x ∈ ⨅ i, p i) ↔ ∀ i, x ∈ p i := by
rw [← SetLike.mem_coe, iInf_coe, Set.mem_iInter]; rfl
#align submodule.mem_infi Submodule.mem_iInf
@[simp]
theorem mem_finset_inf {ι} {s : Finset ι} {p : ι → Submodule R M} {x : M} :
x ∈ s.inf p ↔ ∀ i ∈ s, x ∈ p i := by
simp only [← SetLike.mem_coe, finset_inf_coe, Set.mem_iInter]
#align submodule.mem_finset_inf Submodule.mem_finset_inf
theorem mem_sup_left {S T : Submodule R M} : ∀ {x : M}, x ∈ S → x ∈ S ⊔ T := by
have : S ≤ S ⊔ T := le_sup_left
rw [LE.le] at this
exact this
#align submodule.mem_sup_left Submodule.mem_sup_left
theorem mem_sup_right {S T : Submodule R M} : ∀ {x : M}, x ∈ T → x ∈ S ⊔ T := by
have : T ≤ S ⊔ T := le_sup_right
rw [LE.le] at this
exact this
#align submodule.mem_sup_right Submodule.mem_sup_right
theorem add_mem_sup {S T : Submodule R M} {s t : M} (hs : s ∈ S) (ht : t ∈ T) : s + t ∈ S ⊔ T :=
add_mem (mem_sup_left hs) (mem_sup_right ht)
#align submodule.add_mem_sup Submodule.add_mem_sup
theorem sub_mem_sup {R' M' : Type*} [Ring R'] [AddCommGroup M'] [Module R' M']
{S T : Submodule R' M'} {s t : M'} (hs : s ∈ S) (ht : t ∈ T) : s - t ∈ S ⊔ T := by
rw [sub_eq_add_neg]
exact add_mem_sup hs (neg_mem ht)
#align submodule.sub_mem_sup Submodule.sub_mem_sup
theorem mem_iSup_of_mem {ι : Sort*} {b : M} {p : ι → Submodule R M} (i : ι) (h : b ∈ p i) :
b ∈ ⨆ i, p i :=
(le_iSup p i) h
#align submodule.mem_supr_of_mem Submodule.mem_iSup_of_mem
theorem sum_mem_iSup {ι : Type*} [Fintype ι] {f : ι → M} {p : ι → Submodule R M}
(h : ∀ i, f i ∈ p i) : (∑ i, f i) ∈ ⨆ i, p i :=
sum_mem fun i _ ↦ mem_iSup_of_mem i (h i)
#align submodule.sum_mem_supr Submodule.sum_mem_iSup
theorem sum_mem_biSup {ι : Type*} {s : Finset ι} {f : ι → M} {p : ι → Submodule R M}
(h : ∀ i ∈ s, f i ∈ p i) : (∑ i ∈ s, f i) ∈ ⨆ i ∈ s, p i :=
sum_mem fun i hi ↦ mem_iSup_of_mem i <| mem_iSup_of_mem hi (h i hi)
#align submodule.sum_mem_bsupr Submodule.sum_mem_biSup
theorem mem_sSup_of_mem {S : Set (Submodule R M)} {s : Submodule R M} (hs : s ∈ S) :
∀ {x : M}, x ∈ s → x ∈ sSup S := by
have := le_sSup hs
rw [LE.le] at this
exact this
#align submodule.mem_Sup_of_mem Submodule.mem_sSup_of_mem
@[simp]
theorem toAddSubmonoid_sSup (s : Set (Submodule R M)) :
(sSup s).toAddSubmonoid = sSup (toAddSubmonoid '' s) := by
let p : Submodule R M :=
{ toAddSubmonoid := sSup (toAddSubmonoid '' s)
smul_mem' := fun t {m} h ↦ by
simp_rw [AddSubsemigroup.mem_carrier, AddSubmonoid.mem_toSubsemigroup, sSup_eq_iSup'] at h ⊢
refine AddSubmonoid.iSup_induction'
(C := fun x _ ↦ t • x ∈ ⨆ p : toAddSubmonoid '' s, (p : AddSubmonoid M)) ?_ ?_
(fun x y _ _ ↦ ?_) h
· rintro ⟨-, ⟨p : Submodule R M, hp : p ∈ s, rfl⟩⟩ x (hx : x ∈ p)
suffices p.toAddSubmonoid ≤ ⨆ q : toAddSubmonoid '' s, (q : AddSubmonoid M) by
exact this (smul_mem p t hx)
apply le_sSup
rw [Subtype.range_coe_subtype]
exact ⟨p, hp, rfl⟩
· simpa only [smul_zero] using zero_mem _
· simp_rw [smul_add]; exact add_mem }
refine le_antisymm (?_ : sSup s ≤ p) ?_
· exact sSup_le fun q hq ↦ le_sSup <| Set.mem_image_of_mem toAddSubmonoid hq
· exact sSup_le fun _ ⟨q, hq, hq'⟩ ↦ hq'.symm ▸ le_sSup hq
variable (R)
@[simp]
| Mathlib/Algebra/Module/Submodule/Lattice.lean | 343 | 347 | theorem subsingleton_iff : Subsingleton (Submodule R M) ↔ Subsingleton M :=
have h : Subsingleton (Submodule R M) ↔ Subsingleton (AddSubmonoid M) := by |
rw [← subsingleton_iff_bot_eq_top, ← subsingleton_iff_bot_eq_top, ← toAddSubmonoid_eq,
bot_toAddSubmonoid, top_toAddSubmonoid]
h.trans AddSubmonoid.subsingleton_iff
|
import Mathlib.Dynamics.Ergodic.MeasurePreserving
import Mathlib.MeasureTheory.Function.SimpleFunc
import Mathlib.MeasureTheory.Measure.MutuallySingular
import Mathlib.MeasureTheory.Measure.Count
import Mathlib.Topology.IndicatorConstPointwise
import Mathlib.MeasureTheory.Constructions.BorelSpace.Real
#align_import measure_theory.integral.lebesgue from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520"
assert_not_exists NormedSpace
set_option autoImplicit true
noncomputable section
open Set hiding restrict restrict_apply
open Filter ENNReal
open Function (support)
open scoped Classical
open Topology NNReal ENNReal MeasureTheory
namespace MeasureTheory
local infixr:25 " →ₛ " => SimpleFunc
variable {α β γ δ : Type*}
section Lintegral
open SimpleFunc
variable {m : MeasurableSpace α} {μ ν : Measure α}
irreducible_def lintegral {_ : MeasurableSpace α} (μ : Measure α) (f : α → ℝ≥0∞) : ℝ≥0∞ :=
⨆ (g : α →ₛ ℝ≥0∞) (_ : ⇑g ≤ f), g.lintegral μ
#align measure_theory.lintegral MeasureTheory.lintegral
@[inherit_doc MeasureTheory.lintegral]
notation3 "∫⁻ "(...)", "r:60:(scoped f => f)" ∂"μ:70 => lintegral μ r
@[inherit_doc MeasureTheory.lintegral]
notation3 "∫⁻ "(...)", "r:60:(scoped f => lintegral volume f) => r
@[inherit_doc MeasureTheory.lintegral]
notation3"∫⁻ "(...)" in "s", "r:60:(scoped f => f)" ∂"μ:70 => lintegral (Measure.restrict μ s) r
@[inherit_doc MeasureTheory.lintegral]
notation3"∫⁻ "(...)" in "s", "r:60:(scoped f => lintegral (Measure.restrict volume s) f) => r
theorem SimpleFunc.lintegral_eq_lintegral {m : MeasurableSpace α} (f : α →ₛ ℝ≥0∞) (μ : Measure α) :
∫⁻ a, f a ∂μ = f.lintegral μ := by
rw [MeasureTheory.lintegral]
exact le_antisymm (iSup₂_le fun g hg => lintegral_mono hg <| le_rfl)
(le_iSup₂_of_le f le_rfl le_rfl)
#align measure_theory.simple_func.lintegral_eq_lintegral MeasureTheory.SimpleFunc.lintegral_eq_lintegral
@[mono]
theorem lintegral_mono' {m : MeasurableSpace α} ⦃μ ν : Measure α⦄ (hμν : μ ≤ ν) ⦃f g : α → ℝ≥0∞⦄
(hfg : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂ν := by
rw [lintegral, lintegral]
exact iSup_mono fun φ => iSup_mono' fun hφ => ⟨le_trans hφ hfg, lintegral_mono (le_refl φ) hμν⟩
#align measure_theory.lintegral_mono' MeasureTheory.lintegral_mono'
-- workaround for the known eta-reduction issue with `@[gcongr]`
@[gcongr] theorem lintegral_mono_fn' ⦃f g : α → ℝ≥0∞⦄ (hfg : ∀ x, f x ≤ g x) (h2 : μ ≤ ν) :
lintegral μ f ≤ lintegral ν g :=
lintegral_mono' h2 hfg
theorem lintegral_mono ⦃f g : α → ℝ≥0∞⦄ (hfg : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂μ :=
lintegral_mono' (le_refl μ) hfg
#align measure_theory.lintegral_mono MeasureTheory.lintegral_mono
-- workaround for the known eta-reduction issue with `@[gcongr]`
@[gcongr] theorem lintegral_mono_fn ⦃f g : α → ℝ≥0∞⦄ (hfg : ∀ x, f x ≤ g x) :
lintegral μ f ≤ lintegral μ g :=
lintegral_mono hfg
theorem lintegral_mono_nnreal {f g : α → ℝ≥0} (h : f ≤ g) : ∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂μ :=
lintegral_mono fun a => ENNReal.coe_le_coe.2 (h a)
#align measure_theory.lintegral_mono_nnreal MeasureTheory.lintegral_mono_nnreal
theorem iSup_lintegral_measurable_le_eq_lintegral (f : α → ℝ≥0∞) :
⨆ (g : α → ℝ≥0∞) (_ : Measurable g) (_ : g ≤ f), ∫⁻ a, g a ∂μ = ∫⁻ a, f a ∂μ := by
apply le_antisymm
· exact iSup_le fun i => iSup_le fun _ => iSup_le fun h'i => lintegral_mono h'i
· rw [lintegral]
refine iSup₂_le fun i hi => le_iSup₂_of_le i i.measurable <| le_iSup_of_le hi ?_
exact le_of_eq (i.lintegral_eq_lintegral _).symm
#align measure_theory.supr_lintegral_measurable_le_eq_lintegral MeasureTheory.iSup_lintegral_measurable_le_eq_lintegral
theorem lintegral_mono_set {_ : MeasurableSpace α} ⦃μ : Measure α⦄ {s t : Set α} {f : α → ℝ≥0∞}
(hst : s ⊆ t) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in t, f x ∂μ :=
lintegral_mono' (Measure.restrict_mono hst (le_refl μ)) (le_refl f)
#align measure_theory.lintegral_mono_set MeasureTheory.lintegral_mono_set
theorem lintegral_mono_set' {_ : MeasurableSpace α} ⦃μ : Measure α⦄ {s t : Set α} {f : α → ℝ≥0∞}
(hst : s ≤ᵐ[μ] t) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in t, f x ∂μ :=
lintegral_mono' (Measure.restrict_mono' hst (le_refl μ)) (le_refl f)
#align measure_theory.lintegral_mono_set' MeasureTheory.lintegral_mono_set'
theorem monotone_lintegral {_ : MeasurableSpace α} (μ : Measure α) : Monotone (lintegral μ) :=
lintegral_mono
#align measure_theory.monotone_lintegral MeasureTheory.monotone_lintegral
@[simp]
theorem lintegral_const (c : ℝ≥0∞) : ∫⁻ _, c ∂μ = c * μ univ := by
rw [← SimpleFunc.const_lintegral, ← SimpleFunc.lintegral_eq_lintegral, SimpleFunc.coe_const]
rfl
#align measure_theory.lintegral_const MeasureTheory.lintegral_const
theorem lintegral_zero : ∫⁻ _ : α, 0 ∂μ = 0 := by simp
#align measure_theory.lintegral_zero MeasureTheory.lintegral_zero
theorem lintegral_zero_fun : lintegral μ (0 : α → ℝ≥0∞) = 0 :=
lintegral_zero
#align measure_theory.lintegral_zero_fun MeasureTheory.lintegral_zero_fun
-- @[simp] -- Porting note (#10618): simp can prove this
theorem lintegral_one : ∫⁻ _, (1 : ℝ≥0∞) ∂μ = μ univ := by rw [lintegral_const, one_mul]
#align measure_theory.lintegral_one MeasureTheory.lintegral_one
theorem set_lintegral_const (s : Set α) (c : ℝ≥0∞) : ∫⁻ _ in s, c ∂μ = c * μ s := by
rw [lintegral_const, Measure.restrict_apply_univ]
#align measure_theory.set_lintegral_const MeasureTheory.set_lintegral_const
theorem set_lintegral_one (s) : ∫⁻ _ in s, 1 ∂μ = μ s := by rw [set_lintegral_const, one_mul]
#align measure_theory.set_lintegral_one MeasureTheory.set_lintegral_one
theorem set_lintegral_const_lt_top [IsFiniteMeasure μ] (s : Set α) {c : ℝ≥0∞} (hc : c ≠ ∞) :
∫⁻ _ in s, c ∂μ < ∞ := by
rw [lintegral_const]
exact ENNReal.mul_lt_top hc (measure_ne_top (μ.restrict s) univ)
#align measure_theory.set_lintegral_const_lt_top MeasureTheory.set_lintegral_const_lt_top
theorem lintegral_const_lt_top [IsFiniteMeasure μ] {c : ℝ≥0∞} (hc : c ≠ ∞) : ∫⁻ _, c ∂μ < ∞ := by
simpa only [Measure.restrict_univ] using set_lintegral_const_lt_top (univ : Set α) hc
#align measure_theory.lintegral_const_lt_top MeasureTheory.lintegral_const_lt_top
section
variable (μ)
theorem exists_measurable_le_lintegral_eq (f : α → ℝ≥0∞) :
∃ g : α → ℝ≥0∞, Measurable g ∧ g ≤ f ∧ ∫⁻ a, f a ∂μ = ∫⁻ a, g a ∂μ := by
rcases eq_or_ne (∫⁻ a, f a ∂μ) 0 with h₀ | h₀
· exact ⟨0, measurable_zero, zero_le f, h₀.trans lintegral_zero.symm⟩
rcases exists_seq_strictMono_tendsto' h₀.bot_lt with ⟨L, _, hLf, hL_tendsto⟩
have : ∀ n, ∃ g : α → ℝ≥0∞, Measurable g ∧ g ≤ f ∧ L n < ∫⁻ a, g a ∂μ := by
intro n
simpa only [← iSup_lintegral_measurable_le_eq_lintegral f, lt_iSup_iff, exists_prop] using
(hLf n).2
choose g hgm hgf hLg using this
refine
⟨fun x => ⨆ n, g n x, measurable_iSup hgm, fun x => iSup_le fun n => hgf n x, le_antisymm ?_ ?_⟩
· refine le_of_tendsto' hL_tendsto fun n => (hLg n).le.trans <| lintegral_mono fun x => ?_
exact le_iSup (fun n => g n x) n
· exact lintegral_mono fun x => iSup_le fun n => hgf n x
#align measure_theory.exists_measurable_le_lintegral_eq MeasureTheory.exists_measurable_le_lintegral_eq
end
theorem lintegral_eq_nnreal {m : MeasurableSpace α} (f : α → ℝ≥0∞) (μ : Measure α) :
∫⁻ a, f a ∂μ =
⨆ (φ : α →ₛ ℝ≥0) (_ : ∀ x, ↑(φ x) ≤ f x), (φ.map ((↑) : ℝ≥0 → ℝ≥0∞)).lintegral μ := by
rw [lintegral]
refine
le_antisymm (iSup₂_le fun φ hφ => ?_) (iSup_mono' fun φ => ⟨φ.map ((↑) : ℝ≥0 → ℝ≥0∞), le_rfl⟩)
by_cases h : ∀ᵐ a ∂μ, φ a ≠ ∞
· let ψ := φ.map ENNReal.toNNReal
replace h : ψ.map ((↑) : ℝ≥0 → ℝ≥0∞) =ᵐ[μ] φ := h.mono fun a => ENNReal.coe_toNNReal
have : ∀ x, ↑(ψ x) ≤ f x := fun x => le_trans ENNReal.coe_toNNReal_le_self (hφ x)
exact
le_iSup_of_le (φ.map ENNReal.toNNReal) (le_iSup_of_le this (ge_of_eq <| lintegral_congr h))
· have h_meas : μ (φ ⁻¹' {∞}) ≠ 0 := mt measure_zero_iff_ae_nmem.1 h
refine le_trans le_top (ge_of_eq <| (iSup_eq_top _).2 fun b hb => ?_)
obtain ⟨n, hn⟩ : ∃ n : ℕ, b < n * μ (φ ⁻¹' {∞}) := exists_nat_mul_gt h_meas (ne_of_lt hb)
use (const α (n : ℝ≥0)).restrict (φ ⁻¹' {∞})
simp only [lt_iSup_iff, exists_prop, coe_restrict, φ.measurableSet_preimage, coe_const,
ENNReal.coe_indicator, map_coe_ennreal_restrict, SimpleFunc.map_const, ENNReal.coe_natCast,
restrict_const_lintegral]
refine ⟨indicator_le fun x hx => le_trans ?_ (hφ _), hn⟩
simp only [mem_preimage, mem_singleton_iff] at hx
simp only [hx, le_top]
#align measure_theory.lintegral_eq_nnreal MeasureTheory.lintegral_eq_nnreal
theorem exists_simpleFunc_forall_lintegral_sub_lt_of_pos {f : α → ℝ≥0∞} (h : ∫⁻ x, f x ∂μ ≠ ∞)
{ε : ℝ≥0∞} (hε : ε ≠ 0) :
∃ φ : α →ₛ ℝ≥0,
(∀ x, ↑(φ x) ≤ f x) ∧
∀ ψ : α →ₛ ℝ≥0, (∀ x, ↑(ψ x) ≤ f x) → (map (↑) (ψ - φ)).lintegral μ < ε := by
rw [lintegral_eq_nnreal] at h
have := ENNReal.lt_add_right h hε
erw [ENNReal.biSup_add] at this <;> [skip; exact ⟨0, fun x => zero_le _⟩]
simp_rw [lt_iSup_iff, iSup_lt_iff, iSup_le_iff] at this
rcases this with ⟨φ, hle : ∀ x, ↑(φ x) ≤ f x, b, hbφ, hb⟩
refine ⟨φ, hle, fun ψ hψ => ?_⟩
have : (map (↑) φ).lintegral μ ≠ ∞ := ne_top_of_le_ne_top h (by exact le_iSup₂ (α := ℝ≥0∞) φ hle)
rw [← ENNReal.add_lt_add_iff_left this, ← add_lintegral, ← SimpleFunc.map_add @ENNReal.coe_add]
refine (hb _ fun x => le_trans ?_ (max_le (hle x) (hψ x))).trans_lt hbφ
norm_cast
simp only [add_apply, sub_apply, add_tsub_eq_max]
rfl
#align measure_theory.exists_simple_func_forall_lintegral_sub_lt_of_pos MeasureTheory.exists_simpleFunc_forall_lintegral_sub_lt_of_pos
theorem iSup_lintegral_le {ι : Sort*} (f : ι → α → ℝ≥0∞) :
⨆ i, ∫⁻ a, f i a ∂μ ≤ ∫⁻ a, ⨆ i, f i a ∂μ := by
simp only [← iSup_apply]
exact (monotone_lintegral μ).le_map_iSup
#align measure_theory.supr_lintegral_le MeasureTheory.iSup_lintegral_le
theorem iSup₂_lintegral_le {ι : Sort*} {ι' : ι → Sort*} (f : ∀ i, ι' i → α → ℝ≥0∞) :
⨆ (i) (j), ∫⁻ a, f i j a ∂μ ≤ ∫⁻ a, ⨆ (i) (j), f i j a ∂μ := by
convert (monotone_lintegral μ).le_map_iSup₂ f with a
simp only [iSup_apply]
#align measure_theory.supr₂_lintegral_le MeasureTheory.iSup₂_lintegral_le
theorem le_iInf_lintegral {ι : Sort*} (f : ι → α → ℝ≥0∞) :
∫⁻ a, ⨅ i, f i a ∂μ ≤ ⨅ i, ∫⁻ a, f i a ∂μ := by
simp only [← iInf_apply]
exact (monotone_lintegral μ).map_iInf_le
#align measure_theory.le_infi_lintegral MeasureTheory.le_iInf_lintegral
theorem le_iInf₂_lintegral {ι : Sort*} {ι' : ι → Sort*} (f : ∀ i, ι' i → α → ℝ≥0∞) :
∫⁻ a, ⨅ (i) (h : ι' i), f i h a ∂μ ≤ ⨅ (i) (h : ι' i), ∫⁻ a, f i h a ∂μ := by
convert (monotone_lintegral μ).map_iInf₂_le f with a
simp only [iInf_apply]
#align measure_theory.le_infi₂_lintegral MeasureTheory.le_iInf₂_lintegral
theorem lintegral_mono_ae {f g : α → ℝ≥0∞} (h : ∀ᵐ a ∂μ, f a ≤ g a) :
∫⁻ a, f a ∂μ ≤ ∫⁻ a, g a ∂μ := by
rcases exists_measurable_superset_of_null h with ⟨t, hts, ht, ht0⟩
have : ∀ᵐ x ∂μ, x ∉ t := measure_zero_iff_ae_nmem.1 ht0
rw [lintegral, lintegral]
refine iSup_le fun s => iSup_le fun hfs => le_iSup_of_le (s.restrict tᶜ) <| le_iSup_of_le ?_ ?_
· intro a
by_cases h : a ∈ t <;>
simp only [restrict_apply s ht.compl, mem_compl_iff, h, not_true, not_false_eq_true,
indicator_of_not_mem, zero_le, not_false_eq_true, indicator_of_mem]
exact le_trans (hfs a) (_root_.by_contradiction fun hnfg => h (hts hnfg))
· refine le_of_eq (SimpleFunc.lintegral_congr <| this.mono fun a hnt => ?_)
by_cases hat : a ∈ t <;> simp only [restrict_apply s ht.compl, mem_compl_iff, hat, not_true,
not_false_eq_true, indicator_of_not_mem, not_false_eq_true, indicator_of_mem]
exact (hnt hat).elim
#align measure_theory.lintegral_mono_ae MeasureTheory.lintegral_mono_ae
theorem set_lintegral_mono_ae {s : Set α} {f g : α → ℝ≥0∞} (hf : Measurable f) (hg : Measurable g)
(hfg : ∀ᵐ x ∂μ, x ∈ s → f x ≤ g x) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in s, g x ∂μ :=
lintegral_mono_ae <| (ae_restrict_iff <| measurableSet_le hf hg).2 hfg
#align measure_theory.set_lintegral_mono_ae MeasureTheory.set_lintegral_mono_ae
theorem set_lintegral_mono {s : Set α} {f g : α → ℝ≥0∞} (hf : Measurable f) (hg : Measurable g)
(hfg : ∀ x ∈ s, f x ≤ g x) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in s, g x ∂μ :=
set_lintegral_mono_ae hf hg (ae_of_all _ hfg)
#align measure_theory.set_lintegral_mono MeasureTheory.set_lintegral_mono
theorem set_lintegral_mono_ae' {s : Set α} {f g : α → ℝ≥0∞} (hs : MeasurableSet s)
(hfg : ∀ᵐ x ∂μ, x ∈ s → f x ≤ g x) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in s, g x ∂μ :=
lintegral_mono_ae <| (ae_restrict_iff' hs).2 hfg
theorem set_lintegral_mono' {s : Set α} {f g : α → ℝ≥0∞} (hs : MeasurableSet s)
(hfg : ∀ x ∈ s, f x ≤ g x) : ∫⁻ x in s, f x ∂μ ≤ ∫⁻ x in s, g x ∂μ :=
set_lintegral_mono_ae' hs (ae_of_all _ hfg)
theorem set_lintegral_le_lintegral (s : Set α) (f : α → ℝ≥0∞) :
∫⁻ x in s, f x ∂μ ≤ ∫⁻ x, f x ∂μ :=
lintegral_mono' Measure.restrict_le_self le_rfl
theorem lintegral_congr_ae {f g : α → ℝ≥0∞} (h : f =ᵐ[μ] g) : ∫⁻ a, f a ∂μ = ∫⁻ a, g a ∂μ :=
le_antisymm (lintegral_mono_ae <| h.le) (lintegral_mono_ae <| h.symm.le)
#align measure_theory.lintegral_congr_ae MeasureTheory.lintegral_congr_ae
theorem lintegral_congr {f g : α → ℝ≥0∞} (h : ∀ a, f a = g a) : ∫⁻ a, f a ∂μ = ∫⁻ a, g a ∂μ := by
simp only [h]
#align measure_theory.lintegral_congr MeasureTheory.lintegral_congr
theorem set_lintegral_congr {f : α → ℝ≥0∞} {s t : Set α} (h : s =ᵐ[μ] t) :
∫⁻ x in s, f x ∂μ = ∫⁻ x in t, f x ∂μ := by rw [Measure.restrict_congr_set h]
#align measure_theory.set_lintegral_congr MeasureTheory.set_lintegral_congr
theorem set_lintegral_congr_fun {f g : α → ℝ≥0∞} {s : Set α} (hs : MeasurableSet s)
(hfg : ∀ᵐ x ∂μ, x ∈ s → f x = g x) : ∫⁻ x in s, f x ∂μ = ∫⁻ x in s, g x ∂μ := by
rw [lintegral_congr_ae]
rw [EventuallyEq]
rwa [ae_restrict_iff' hs]
#align measure_theory.set_lintegral_congr_fun MeasureTheory.set_lintegral_congr_fun
theorem lintegral_ofReal_le_lintegral_nnnorm (f : α → ℝ) :
∫⁻ x, ENNReal.ofReal (f x) ∂μ ≤ ∫⁻ x, ‖f x‖₊ ∂μ := by
simp_rw [← ofReal_norm_eq_coe_nnnorm]
refine lintegral_mono fun x => ENNReal.ofReal_le_ofReal ?_
rw [Real.norm_eq_abs]
exact le_abs_self (f x)
#align measure_theory.lintegral_of_real_le_lintegral_nnnorm MeasureTheory.lintegral_ofReal_le_lintegral_nnnorm
theorem lintegral_nnnorm_eq_of_ae_nonneg {f : α → ℝ} (h_nonneg : 0 ≤ᵐ[μ] f) :
∫⁻ x, ‖f x‖₊ ∂μ = ∫⁻ x, ENNReal.ofReal (f x) ∂μ := by
apply lintegral_congr_ae
filter_upwards [h_nonneg] with x hx
rw [Real.nnnorm_of_nonneg hx, ENNReal.ofReal_eq_coe_nnreal hx]
#align measure_theory.lintegral_nnnorm_eq_of_ae_nonneg MeasureTheory.lintegral_nnnorm_eq_of_ae_nonneg
theorem lintegral_nnnorm_eq_of_nonneg {f : α → ℝ} (h_nonneg : 0 ≤ f) :
∫⁻ x, ‖f x‖₊ ∂μ = ∫⁻ x, ENNReal.ofReal (f x) ∂μ :=
lintegral_nnnorm_eq_of_ae_nonneg (Filter.eventually_of_forall h_nonneg)
#align measure_theory.lintegral_nnnorm_eq_of_nonneg MeasureTheory.lintegral_nnnorm_eq_of_nonneg
theorem lintegral_iSup {f : ℕ → α → ℝ≥0∞} (hf : ∀ n, Measurable (f n)) (h_mono : Monotone f) :
∫⁻ a, ⨆ n, f n a ∂μ = ⨆ n, ∫⁻ a, f n a ∂μ := by
set c : ℝ≥0 → ℝ≥0∞ := (↑)
set F := fun a : α => ⨆ n, f n a
refine le_antisymm ?_ (iSup_lintegral_le _)
rw [lintegral_eq_nnreal]
refine iSup_le fun s => iSup_le fun hsf => ?_
refine ENNReal.le_of_forall_lt_one_mul_le fun a ha => ?_
rcases ENNReal.lt_iff_exists_coe.1 ha with ⟨r, rfl, _⟩
have ha : r < 1 := ENNReal.coe_lt_coe.1 ha
let rs := s.map fun a => r * a
have eq_rs : rs.map c = (const α r : α →ₛ ℝ≥0∞) * map c s := rfl
have eq : ∀ p, rs.map c ⁻¹' {p} = ⋃ n, rs.map c ⁻¹' {p} ∩ { a | p ≤ f n a } := by
intro p
rw [← inter_iUnion]; nth_rw 1 [← inter_univ (map c rs ⁻¹' {p})]
refine Set.ext fun x => and_congr_right fun hx => true_iff_iff.2 ?_
by_cases p_eq : p = 0
· simp [p_eq]
simp only [coe_map, mem_preimage, Function.comp_apply, mem_singleton_iff] at hx
subst hx
have : r * s x ≠ 0 := by rwa [Ne, ← ENNReal.coe_eq_zero]
have : s x ≠ 0 := right_ne_zero_of_mul this
have : (rs.map c) x < ⨆ n : ℕ, f n x := by
refine lt_of_lt_of_le (ENNReal.coe_lt_coe.2 ?_) (hsf x)
suffices r * s x < 1 * s x by simpa
exact mul_lt_mul_of_pos_right ha (pos_iff_ne_zero.2 this)
rcases lt_iSup_iff.1 this with ⟨i, hi⟩
exact mem_iUnion.2 ⟨i, le_of_lt hi⟩
have mono : ∀ r : ℝ≥0∞, Monotone fun n => rs.map c ⁻¹' {r} ∩ { a | r ≤ f n a } := by
intro r i j h
refine inter_subset_inter_right _ ?_
simp_rw [subset_def, mem_setOf]
intro x hx
exact le_trans hx (h_mono h x)
have h_meas : ∀ n, MeasurableSet {a : α | map c rs a ≤ f n a} := fun n =>
measurableSet_le (SimpleFunc.measurable _) (hf n)
calc
(r : ℝ≥0∞) * (s.map c).lintegral μ = ∑ r ∈ (rs.map c).range, r * μ (rs.map c ⁻¹' {r}) := by
rw [← const_mul_lintegral, eq_rs, SimpleFunc.lintegral]
_ = ∑ r ∈ (rs.map c).range, r * μ (⋃ n, rs.map c ⁻¹' {r} ∩ { a | r ≤ f n a }) := by
simp only [(eq _).symm]
_ = ∑ r ∈ (rs.map c).range, ⨆ n, r * μ (rs.map c ⁻¹' {r} ∩ { a | r ≤ f n a }) :=
(Finset.sum_congr rfl fun x _ => by
rw [measure_iUnion_eq_iSup (mono x).directed_le, ENNReal.mul_iSup])
_ = ⨆ n, ∑ r ∈ (rs.map c).range, r * μ (rs.map c ⁻¹' {r} ∩ { a | r ≤ f n a }) := by
refine ENNReal.finset_sum_iSup_nat fun p i j h ↦ ?_
gcongr _ * μ ?_
exact mono p h
_ ≤ ⨆ n : ℕ, ((rs.map c).restrict { a | (rs.map c) a ≤ f n a }).lintegral μ := by
gcongr with n
rw [restrict_lintegral _ (h_meas n)]
refine le_of_eq (Finset.sum_congr rfl fun r _ => ?_)
congr 2 with a
refine and_congr_right ?_
simp (config := { contextual := true })
_ ≤ ⨆ n, ∫⁻ a, f n a ∂μ := by
simp only [← SimpleFunc.lintegral_eq_lintegral]
gcongr with n a
simp only [map_apply] at h_meas
simp only [coe_map, restrict_apply _ (h_meas _), (· ∘ ·)]
exact indicator_apply_le id
#align measure_theory.lintegral_supr MeasureTheory.lintegral_iSup
theorem lintegral_iSup' {f : ℕ → α → ℝ≥0∞} (hf : ∀ n, AEMeasurable (f n) μ)
(h_mono : ∀ᵐ x ∂μ, Monotone fun n => f n x) : ∫⁻ a, ⨆ n, f n a ∂μ = ⨆ n, ∫⁻ a, f n a ∂μ := by
simp_rw [← iSup_apply]
let p : α → (ℕ → ℝ≥0∞) → Prop := fun _ f' => Monotone f'
have hp : ∀ᵐ x ∂μ, p x fun i => f i x := h_mono
have h_ae_seq_mono : Monotone (aeSeq hf p) := by
intro n m hnm x
by_cases hx : x ∈ aeSeqSet hf p
· exact aeSeq.prop_of_mem_aeSeqSet hf hx hnm
· simp only [aeSeq, hx, if_false, le_rfl]
rw [lintegral_congr_ae (aeSeq.iSup hf hp).symm]
simp_rw [iSup_apply]
rw [lintegral_iSup (aeSeq.measurable hf p) h_ae_seq_mono]
congr with n
exact lintegral_congr_ae (aeSeq.aeSeq_n_eq_fun_n_ae hf hp n)
#align measure_theory.lintegral_supr' MeasureTheory.lintegral_iSup'
theorem lintegral_tendsto_of_tendsto_of_monotone {f : ℕ → α → ℝ≥0∞} {F : α → ℝ≥0∞}
(hf : ∀ n, AEMeasurable (f n) μ) (h_mono : ∀ᵐ x ∂μ, Monotone fun n => f n x)
(h_tendsto : ∀ᵐ x ∂μ, Tendsto (fun n => f n x) atTop (𝓝 <| F x)) :
Tendsto (fun n => ∫⁻ x, f n x ∂μ) atTop (𝓝 <| ∫⁻ x, F x ∂μ) := by
have : Monotone fun n => ∫⁻ x, f n x ∂μ := fun i j hij =>
lintegral_mono_ae (h_mono.mono fun x hx => hx hij)
suffices key : ∫⁻ x, F x ∂μ = ⨆ n, ∫⁻ x, f n x ∂μ by
rw [key]
exact tendsto_atTop_iSup this
rw [← lintegral_iSup' hf h_mono]
refine lintegral_congr_ae ?_
filter_upwards [h_mono, h_tendsto] with _ hx_mono hx_tendsto using
tendsto_nhds_unique hx_tendsto (tendsto_atTop_iSup hx_mono)
#align measure_theory.lintegral_tendsto_of_tendsto_of_monotone MeasureTheory.lintegral_tendsto_of_tendsto_of_monotone
theorem lintegral_eq_iSup_eapprox_lintegral {f : α → ℝ≥0∞} (hf : Measurable f) :
∫⁻ a, f a ∂μ = ⨆ n, (eapprox f n).lintegral μ :=
calc
∫⁻ a, f a ∂μ = ∫⁻ a, ⨆ n, (eapprox f n : α → ℝ≥0∞) a ∂μ := by
congr; ext a; rw [iSup_eapprox_apply f hf]
_ = ⨆ n, ∫⁻ a, (eapprox f n : α → ℝ≥0∞) a ∂μ := by
apply lintegral_iSup
· measurability
· intro i j h
exact monotone_eapprox f h
_ = ⨆ n, (eapprox f n).lintegral μ := by
congr; ext n; rw [(eapprox f n).lintegral_eq_lintegral]
#align measure_theory.lintegral_eq_supr_eapprox_lintegral MeasureTheory.lintegral_eq_iSup_eapprox_lintegral
theorem exists_pos_set_lintegral_lt_of_measure_lt {f : α → ℝ≥0∞} (h : ∫⁻ x, f x ∂μ ≠ ∞) {ε : ℝ≥0∞}
(hε : ε ≠ 0) : ∃ δ > 0, ∀ s, μ s < δ → ∫⁻ x in s, f x ∂μ < ε := by
rcases exists_between (pos_iff_ne_zero.mpr hε) with ⟨ε₂, hε₂0, hε₂ε⟩
rcases exists_between hε₂0 with ⟨ε₁, hε₁0, hε₁₂⟩
rcases exists_simpleFunc_forall_lintegral_sub_lt_of_pos h hε₁0.ne' with ⟨φ, _, hφ⟩
rcases φ.exists_forall_le with ⟨C, hC⟩
use (ε₂ - ε₁) / C, ENNReal.div_pos_iff.2 ⟨(tsub_pos_iff_lt.2 hε₁₂).ne', ENNReal.coe_ne_top⟩
refine fun s hs => lt_of_le_of_lt ?_ hε₂ε
simp only [lintegral_eq_nnreal, iSup_le_iff]
intro ψ hψ
calc
(map (↑) ψ).lintegral (μ.restrict s) ≤
(map (↑) φ).lintegral (μ.restrict s) + (map (↑) (ψ - φ)).lintegral (μ.restrict s) := by
rw [← SimpleFunc.add_lintegral, ← SimpleFunc.map_add @ENNReal.coe_add]
refine SimpleFunc.lintegral_mono (fun x => ?_) le_rfl
simp only [add_tsub_eq_max, le_max_right, coe_map, Function.comp_apply, SimpleFunc.coe_add,
SimpleFunc.coe_sub, Pi.add_apply, Pi.sub_apply, ENNReal.coe_max (φ x) (ψ x)]
_ ≤ (map (↑) φ).lintegral (μ.restrict s) + ε₁ := by
gcongr
refine le_trans ?_ (hφ _ hψ).le
exact SimpleFunc.lintegral_mono le_rfl Measure.restrict_le_self
_ ≤ (SimpleFunc.const α (C : ℝ≥0∞)).lintegral (μ.restrict s) + ε₁ := by
gcongr
exact SimpleFunc.lintegral_mono (fun x ↦ ENNReal.coe_le_coe.2 (hC x)) le_rfl
_ = C * μ s + ε₁ := by
simp only [← SimpleFunc.lintegral_eq_lintegral, coe_const, lintegral_const,
Measure.restrict_apply, MeasurableSet.univ, univ_inter, Function.const]
_ ≤ C * ((ε₂ - ε₁) / C) + ε₁ := by gcongr
_ ≤ ε₂ - ε₁ + ε₁ := by gcongr; apply mul_div_le
_ = ε₂ := tsub_add_cancel_of_le hε₁₂.le
#align measure_theory.exists_pos_set_lintegral_lt_of_measure_lt MeasureTheory.exists_pos_set_lintegral_lt_of_measure_lt
theorem tendsto_set_lintegral_zero {ι} {f : α → ℝ≥0∞} (h : ∫⁻ x, f x ∂μ ≠ ∞) {l : Filter ι}
{s : ι → Set α} (hl : Tendsto (μ ∘ s) l (𝓝 0)) :
Tendsto (fun i => ∫⁻ x in s i, f x ∂μ) l (𝓝 0) := by
simp only [ENNReal.nhds_zero, tendsto_iInf, tendsto_principal, mem_Iio,
← pos_iff_ne_zero] at hl ⊢
intro ε ε0
rcases exists_pos_set_lintegral_lt_of_measure_lt h ε0.ne' with ⟨δ, δ0, hδ⟩
exact (hl δ δ0).mono fun i => hδ _
#align measure_theory.tendsto_set_lintegral_zero MeasureTheory.tendsto_set_lintegral_zero
theorem le_lintegral_add (f g : α → ℝ≥0∞) :
∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ ≤ ∫⁻ a, f a + g a ∂μ := by
simp only [lintegral]
refine ENNReal.biSup_add_biSup_le' (p := fun h : α →ₛ ℝ≥0∞ => h ≤ f)
(q := fun h : α →ₛ ℝ≥0∞ => h ≤ g) ⟨0, zero_le f⟩ ⟨0, zero_le g⟩ fun f' hf' g' hg' => ?_
exact le_iSup₂_of_le (f' + g') (add_le_add hf' hg') (add_lintegral _ _).ge
#align measure_theory.le_lintegral_add MeasureTheory.le_lintegral_add
-- Use stronger lemmas `lintegral_add_left`/`lintegral_add_right` instead
theorem lintegral_add_aux {f g : α → ℝ≥0∞} (hf : Measurable f) (hg : Measurable g) :
∫⁻ a, f a + g a ∂μ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ :=
calc
∫⁻ a, f a + g a ∂μ =
∫⁻ a, (⨆ n, (eapprox f n : α → ℝ≥0∞) a) + ⨆ n, (eapprox g n : α → ℝ≥0∞) a ∂μ := by
simp only [iSup_eapprox_apply, hf, hg]
_ = ∫⁻ a, ⨆ n, (eapprox f n + eapprox g n : α → ℝ≥0∞) a ∂μ := by
congr; funext a
rw [ENNReal.iSup_add_iSup_of_monotone]
· simp only [Pi.add_apply]
· intro i j h
exact monotone_eapprox _ h a
· intro i j h
exact monotone_eapprox _ h a
_ = ⨆ n, (eapprox f n).lintegral μ + (eapprox g n).lintegral μ := by
rw [lintegral_iSup]
· congr
funext n
rw [← SimpleFunc.add_lintegral, ← SimpleFunc.lintegral_eq_lintegral]
simp only [Pi.add_apply, SimpleFunc.coe_add]
· measurability
· intro i j h a
dsimp
gcongr <;> exact monotone_eapprox _ h _
_ = (⨆ n, (eapprox f n).lintegral μ) + ⨆ n, (eapprox g n).lintegral μ := by
refine (ENNReal.iSup_add_iSup_of_monotone ?_ ?_).symm <;>
· intro i j h
exact SimpleFunc.lintegral_mono (monotone_eapprox _ h) le_rfl
_ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ := by
rw [lintegral_eq_iSup_eapprox_lintegral hf, lintegral_eq_iSup_eapprox_lintegral hg]
#align measure_theory.lintegral_add_aux MeasureTheory.lintegral_add_aux
@[simp]
theorem lintegral_add_left {f : α → ℝ≥0∞} (hf : Measurable f) (g : α → ℝ≥0∞) :
∫⁻ a, f a + g a ∂μ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ := by
refine le_antisymm ?_ (le_lintegral_add _ _)
rcases exists_measurable_le_lintegral_eq μ fun a => f a + g a with ⟨φ, hφm, hφ_le, hφ_eq⟩
calc
∫⁻ a, f a + g a ∂μ = ∫⁻ a, φ a ∂μ := hφ_eq
_ ≤ ∫⁻ a, f a + (φ a - f a) ∂μ := lintegral_mono fun a => le_add_tsub
_ = ∫⁻ a, f a ∂μ + ∫⁻ a, φ a - f a ∂μ := lintegral_add_aux hf (hφm.sub hf)
_ ≤ ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ :=
add_le_add_left (lintegral_mono fun a => tsub_le_iff_left.2 <| hφ_le a) _
#align measure_theory.lintegral_add_left MeasureTheory.lintegral_add_left
theorem lintegral_add_left' {f : α → ℝ≥0∞} (hf : AEMeasurable f μ) (g : α → ℝ≥0∞) :
∫⁻ a, f a + g a ∂μ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ := by
rw [lintegral_congr_ae hf.ae_eq_mk, ← lintegral_add_left hf.measurable_mk,
lintegral_congr_ae (hf.ae_eq_mk.add (ae_eq_refl g))]
#align measure_theory.lintegral_add_left' MeasureTheory.lintegral_add_left'
theorem lintegral_add_right' (f : α → ℝ≥0∞) {g : α → ℝ≥0∞} (hg : AEMeasurable g μ) :
∫⁻ a, f a + g a ∂μ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ := by
simpa only [add_comm] using lintegral_add_left' hg f
#align measure_theory.lintegral_add_right' MeasureTheory.lintegral_add_right'
@[simp]
theorem lintegral_add_right (f : α → ℝ≥0∞) {g : α → ℝ≥0∞} (hg : Measurable g) :
∫⁻ a, f a + g a ∂μ = ∫⁻ a, f a ∂μ + ∫⁻ a, g a ∂μ :=
lintegral_add_right' f hg.aemeasurable
#align measure_theory.lintegral_add_right MeasureTheory.lintegral_add_right
@[simp]
theorem lintegral_smul_measure (c : ℝ≥0∞) (f : α → ℝ≥0∞) : ∫⁻ a, f a ∂c • μ = c * ∫⁻ a, f a ∂μ := by
simp only [lintegral, iSup_subtype', SimpleFunc.lintegral_smul, ENNReal.mul_iSup, smul_eq_mul]
#align measure_theory.lintegral_smul_measure MeasureTheory.lintegral_smul_measure
lemma set_lintegral_smul_measure (c : ℝ≥0∞) (f : α → ℝ≥0∞) (s : Set α) :
∫⁻ a in s, f a ∂(c • μ) = c * ∫⁻ a in s, f a ∂μ := by
rw [Measure.restrict_smul, lintegral_smul_measure]
@[simp]
theorem lintegral_sum_measure {m : MeasurableSpace α} {ι} (f : α → ℝ≥0∞) (μ : ι → Measure α) :
∫⁻ a, f a ∂Measure.sum μ = ∑' i, ∫⁻ a, f a ∂μ i := by
simp only [lintegral, iSup_subtype', SimpleFunc.lintegral_sum, ENNReal.tsum_eq_iSup_sum]
rw [iSup_comm]
congr; funext s
induction' s using Finset.induction_on with i s hi hs
· simp
simp only [Finset.sum_insert hi, ← hs]
refine (ENNReal.iSup_add_iSup ?_).symm
intro φ ψ
exact
⟨⟨φ ⊔ ψ, fun x => sup_le (φ.2 x) (ψ.2 x)⟩,
add_le_add (SimpleFunc.lintegral_mono le_sup_left le_rfl)
(Finset.sum_le_sum fun j _ => SimpleFunc.lintegral_mono le_sup_right le_rfl)⟩
#align measure_theory.lintegral_sum_measure MeasureTheory.lintegral_sum_measure
theorem hasSum_lintegral_measure {ι} {_ : MeasurableSpace α} (f : α → ℝ≥0∞) (μ : ι → Measure α) :
HasSum (fun i => ∫⁻ a, f a ∂μ i) (∫⁻ a, f a ∂Measure.sum μ) :=
(lintegral_sum_measure f μ).symm ▸ ENNReal.summable.hasSum
#align measure_theory.has_sum_lintegral_measure MeasureTheory.hasSum_lintegral_measure
@[simp]
theorem lintegral_add_measure {m : MeasurableSpace α} (f : α → ℝ≥0∞) (μ ν : Measure α) :
∫⁻ a, f a ∂(μ + ν) = ∫⁻ a, f a ∂μ + ∫⁻ a, f a ∂ν := by
simpa [tsum_fintype] using lintegral_sum_measure f fun b => cond b μ ν
#align measure_theory.lintegral_add_measure MeasureTheory.lintegral_add_measure
@[simp]
theorem lintegral_finset_sum_measure {ι} {m : MeasurableSpace α} (s : Finset ι) (f : α → ℝ≥0∞)
(μ : ι → Measure α) : ∫⁻ a, f a ∂(∑ i ∈ s, μ i) = ∑ i ∈ s, ∫⁻ a, f a ∂μ i := by
rw [← Measure.sum_coe_finset, lintegral_sum_measure, ← Finset.tsum_subtype']
simp only [Finset.coe_sort_coe]
#align measure_theory.lintegral_finset_sum_measure MeasureTheory.lintegral_finset_sum_measure
@[simp]
theorem lintegral_zero_measure {m : MeasurableSpace α} (f : α → ℝ≥0∞) :
∫⁻ a, f a ∂(0 : Measure α) = 0 := by
simp [lintegral]
#align measure_theory.lintegral_zero_measure MeasureTheory.lintegral_zero_measure
@[simp]
theorem lintegral_of_isEmpty {α} [MeasurableSpace α] [IsEmpty α] (μ : Measure α) (f : α → ℝ≥0∞) :
∫⁻ x, f x ∂μ = 0 := by
have : Subsingleton (Measure α) := inferInstance
convert lintegral_zero_measure f
theorem set_lintegral_empty (f : α → ℝ≥0∞) : ∫⁻ x in ∅, f x ∂μ = 0 := by
rw [Measure.restrict_empty, lintegral_zero_measure]
#align measure_theory.set_lintegral_empty MeasureTheory.set_lintegral_empty
theorem set_lintegral_univ (f : α → ℝ≥0∞) : ∫⁻ x in univ, f x ∂μ = ∫⁻ x, f x ∂μ := by
rw [Measure.restrict_univ]
#align measure_theory.set_lintegral_univ MeasureTheory.set_lintegral_univ
theorem set_lintegral_measure_zero (s : Set α) (f : α → ℝ≥0∞) (hs' : μ s = 0) :
∫⁻ x in s, f x ∂μ = 0 := by
convert lintegral_zero_measure _
exact Measure.restrict_eq_zero.2 hs'
#align measure_theory.set_lintegral_measure_zero MeasureTheory.set_lintegral_measure_zero
| Mathlib/MeasureTheory/Integral/Lebesgue.lean | 653 | 660 | theorem lintegral_finset_sum' (s : Finset β) {f : β → α → ℝ≥0∞}
(hf : ∀ b ∈ s, AEMeasurable (f b) μ) :
∫⁻ a, ∑ b ∈ s, f b a ∂μ = ∑ b ∈ s, ∫⁻ a, f b a ∂μ := by |
induction' s using Finset.induction_on with a s has ih
· simp
· simp only [Finset.sum_insert has]
rw [Finset.forall_mem_insert] at hf
rw [lintegral_add_left' hf.1, ih hf.2]
|
import Mathlib.Analysis.NormedSpace.PiLp
import Mathlib.Analysis.InnerProductSpace.PiL2
#align_import analysis.matrix from "leanprover-community/mathlib"@"46b633fd842bef9469441c0209906f6dddd2b4f5"
noncomputable section
open scoped NNReal Matrix
namespace Matrix
variable {R l m n α β : Type*} [Fintype l] [Fintype m] [Fintype n]
section LinfLinf
protected def normedAddCommGroup [NormedAddCommGroup α] : NormedAddCommGroup (Matrix m n α) :=
Pi.normedAddCommGroup
#align matrix.normed_add_comm_group Matrix.normedAddCommGroup
section frobenius
open scoped Matrix
@[local instance]
def frobeniusSeminormedAddCommGroup [SeminormedAddCommGroup α] :
SeminormedAddCommGroup (Matrix m n α) :=
inferInstanceAs (SeminormedAddCommGroup (PiLp 2 fun _i : m => PiLp 2 fun _j : n => α))
#align matrix.frobenius_seminormed_add_comm_group Matrix.frobeniusSeminormedAddCommGroup
@[local instance]
def frobeniusNormedAddCommGroup [NormedAddCommGroup α] : NormedAddCommGroup (Matrix m n α) :=
(by infer_instance : NormedAddCommGroup (PiLp 2 fun i : m => PiLp 2 fun j : n => α))
#align matrix.frobenius_normed_add_comm_group Matrix.frobeniusNormedAddCommGroup
@[local instance]
theorem frobeniusBoundedSMul [SeminormedRing R] [SeminormedAddCommGroup α] [Module R α]
[BoundedSMul R α] :
BoundedSMul R (Matrix m n α) :=
(by infer_instance : BoundedSMul R (PiLp 2 fun i : m => PiLp 2 fun j : n => α))
@[local instance]
def frobeniusNormedSpace [NormedField R] [SeminormedAddCommGroup α] [NormedSpace R α] :
NormedSpace R (Matrix m n α) :=
(by infer_instance : NormedSpace R (PiLp 2 fun i : m => PiLp 2 fun j : n => α))
#align matrix.frobenius_normed_space Matrix.frobeniusNormedSpace
section SeminormedAddCommGroup
variable [SeminormedAddCommGroup α] [SeminormedAddCommGroup β]
theorem frobenius_nnnorm_def (A : Matrix m n α) :
‖A‖₊ = (∑ i, ∑ j, ‖A i j‖₊ ^ (2 : ℝ)) ^ (1 / 2 : ℝ) := by
-- Porting note: added, along with `WithLp.equiv_symm_pi_apply` below
change ‖(WithLp.equiv 2 _).symm fun i => (WithLp.equiv 2 _).symm fun j => A i j‖₊ = _
simp_rw [PiLp.nnnorm_eq_of_L2, NNReal.sq_sqrt, NNReal.sqrt_eq_rpow, NNReal.rpow_two,
WithLp.equiv_symm_pi_apply]
#align matrix.frobenius_nnnorm_def Matrix.frobenius_nnnorm_def
theorem frobenius_norm_def (A : Matrix m n α) :
‖A‖ = (∑ i, ∑ j, ‖A i j‖ ^ (2 : ℝ)) ^ (1 / 2 : ℝ) :=
(congr_arg ((↑) : ℝ≥0 → ℝ) (frobenius_nnnorm_def A)).trans <| by simp [NNReal.coe_sum]
#align matrix.frobenius_norm_def Matrix.frobenius_norm_def
@[simp]
theorem frobenius_nnnorm_map_eq (A : Matrix m n α) (f : α → β) (hf : ∀ a, ‖f a‖₊ = ‖a‖₊) :
‖A.map f‖₊ = ‖A‖₊ := by simp_rw [frobenius_nnnorm_def, Matrix.map_apply, hf]
#align matrix.frobenius_nnnorm_map_eq Matrix.frobenius_nnnorm_map_eq
@[simp]
theorem frobenius_norm_map_eq (A : Matrix m n α) (f : α → β) (hf : ∀ a, ‖f a‖ = ‖a‖) :
‖A.map f‖ = ‖A‖ :=
(congr_arg ((↑) : ℝ≥0 → ℝ) <| frobenius_nnnorm_map_eq A f fun a => Subtype.ext <| hf a : _)
#align matrix.frobenius_norm_map_eq Matrix.frobenius_norm_map_eq
@[simp]
theorem frobenius_nnnorm_transpose (A : Matrix m n α) : ‖Aᵀ‖₊ = ‖A‖₊ := by
rw [frobenius_nnnorm_def, frobenius_nnnorm_def, Finset.sum_comm]
simp_rw [Matrix.transpose_apply] -- Porting note: added
#align matrix.frobenius_nnnorm_transpose Matrix.frobenius_nnnorm_transpose
@[simp]
theorem frobenius_norm_transpose (A : Matrix m n α) : ‖Aᵀ‖ = ‖A‖ :=
congr_arg ((↑) : ℝ≥0 → ℝ) <| frobenius_nnnorm_transpose A
#align matrix.frobenius_norm_transpose Matrix.frobenius_norm_transpose
@[simp]
theorem frobenius_nnnorm_conjTranspose [StarAddMonoid α] [NormedStarGroup α] (A : Matrix m n α) :
‖Aᴴ‖₊ = ‖A‖₊ :=
(frobenius_nnnorm_map_eq _ _ nnnorm_star).trans A.frobenius_nnnorm_transpose
#align matrix.frobenius_nnnorm_conj_transpose Matrix.frobenius_nnnorm_conjTranspose
@[simp]
theorem frobenius_norm_conjTranspose [StarAddMonoid α] [NormedStarGroup α] (A : Matrix m n α) :
‖Aᴴ‖ = ‖A‖ :=
congr_arg ((↑) : ℝ≥0 → ℝ) <| frobenius_nnnorm_conjTranspose A
#align matrix.frobenius_norm_conj_transpose Matrix.frobenius_norm_conjTranspose
instance frobenius_normedStarGroup [StarAddMonoid α] [NormedStarGroup α] :
NormedStarGroup (Matrix m m α) :=
⟨frobenius_norm_conjTranspose⟩
#align matrix.frobenius_normed_star_group Matrix.frobenius_normedStarGroup
@[simp]
| Mathlib/Analysis/Matrix.lean | 613 | 615 | theorem frobenius_norm_row (v : m → α) : ‖row v‖ = ‖(WithLp.equiv 2 _).symm v‖ := by |
rw [frobenius_norm_def, Fintype.sum_unique, PiLp.norm_eq_of_L2, Real.sqrt_eq_rpow]
simp only [row_apply, Real.rpow_two, WithLp.equiv_symm_pi_apply]
|
import Mathlib.CategoryTheory.Equivalence
#align_import algebraic_topology.dold_kan.compatibility from "leanprover-community/mathlib"@"32a7e535287f9c73f2e4d2aef306a39190f0b504"
open CategoryTheory CategoryTheory.Category
namespace AlgebraicTopology
namespace DoldKan
namespace Compatibility
variable {A A' B B' : Type*} [Category A] [Category A'] [Category B] [Category B'] (eA : A ≌ A')
(eB : B ≌ B') (e' : A' ≌ B') {F : A ⥤ B'} (hF : eA.functor ⋙ e'.functor ≅ F) {G : B ⥤ A}
(hG : eB.functor ⋙ e'.inverse ≅ G ⋙ eA.functor)
@[simps! functor inverse unitIso_hom_app]
def equivalence₀ : A ≌ B' :=
eA.trans e'
#align algebraic_topology.dold_kan.compatibility.equivalence₀ AlgebraicTopology.DoldKan.Compatibility.equivalence₀
variable {eA} {e'}
@[simps! functor]
def equivalence₁ : A ≌ B' := (equivalence₀ eA e').changeFunctor hF
#align algebraic_topology.dold_kan.compatibility.equivalence₁ AlgebraicTopology.DoldKan.Compatibility.equivalence₁
theorem equivalence₁_inverse : (equivalence₁ hF).inverse = e'.inverse ⋙ eA.inverse :=
rfl
#align algebraic_topology.dold_kan.compatibility.equivalence₁_inverse AlgebraicTopology.DoldKan.Compatibility.equivalence₁_inverse
@[simps!]
def equivalence₁CounitIso : (e'.inverse ⋙ eA.inverse) ⋙ F ≅ 𝟭 B' :=
calc
(e'.inverse ⋙ eA.inverse) ⋙ F ≅ (e'.inverse ⋙ eA.inverse) ⋙ eA.functor ⋙ e'.functor :=
isoWhiskerLeft _ hF.symm
_ ≅ e'.inverse ⋙ (eA.inverse ⋙ eA.functor) ⋙ e'.functor := Iso.refl _
_ ≅ e'.inverse ⋙ 𝟭 _ ⋙ e'.functor := isoWhiskerLeft _ (isoWhiskerRight eA.counitIso _)
_ ≅ e'.inverse ⋙ e'.functor := Iso.refl _
_ ≅ 𝟭 B' := e'.counitIso
#align algebraic_topology.dold_kan.compatibility.equivalence₁_counit_iso AlgebraicTopology.DoldKan.Compatibility.equivalence₁CounitIso
| Mathlib/AlgebraicTopology/DoldKan/Compatibility.lean | 86 | 88 | theorem equivalence₁CounitIso_eq : (equivalence₁ hF).counitIso = equivalence₁CounitIso hF := by |
ext Y
simp [equivalence₁, equivalence₀]
|
import Mathlib.Data.Finsupp.Encodable
import Mathlib.LinearAlgebra.Pi
import Mathlib.LinearAlgebra.Span
import Mathlib.Data.Set.Countable
#align_import linear_algebra.finsupp from "leanprover-community/mathlib"@"9d684a893c52e1d6692a504a118bfccbae04feeb"
noncomputable section
open Set LinearMap Submodule
namespace Finsupp
variable {α : Type*} {M : Type*} {N : Type*} {P : Type*} {R : Type*} {S : Type*}
variable [Semiring R] [Semiring S] [AddCommMonoid M] [Module R M]
variable [AddCommMonoid N] [Module R N]
variable [AddCommMonoid P] [Module R P]
def lsingle (a : α) : M →ₗ[R] α →₀ M :=
{ Finsupp.singleAddHom a with map_smul' := fun _ _ => (smul_single _ _ _).symm }
#align finsupp.lsingle Finsupp.lsingle
theorem lhom_ext ⦃φ ψ : (α →₀ M) →ₗ[R] N⦄ (h : ∀ a b, φ (single a b) = ψ (single a b)) : φ = ψ :=
LinearMap.toAddMonoidHom_injective <| addHom_ext h
#align finsupp.lhom_ext Finsupp.lhom_ext
-- Porting note: The priority should be higher than `LinearMap.ext`.
@[ext high]
theorem lhom_ext' ⦃φ ψ : (α →₀ M) →ₗ[R] N⦄ (h : ∀ a, φ.comp (lsingle a) = ψ.comp (lsingle a)) :
φ = ψ :=
lhom_ext fun a => LinearMap.congr_fun (h a)
#align finsupp.lhom_ext' Finsupp.lhom_ext'
def lapply (a : α) : (α →₀ M) →ₗ[R] M :=
{ Finsupp.applyAddHom a with map_smul' := fun _ _ => rfl }
#align finsupp.lapply Finsupp.lapply
@[simps]
def lcoeFun : (α →₀ M) →ₗ[R] α → M where
toFun := (⇑)
map_add' x y := by
ext
simp
map_smul' x y := by
ext
simp
#align finsupp.lcoe_fun Finsupp.lcoeFun
@[simp]
theorem lsingle_apply (a : α) (b : M) : (lsingle a : M →ₗ[R] α →₀ M) b = single a b :=
rfl
#align finsupp.lsingle_apply Finsupp.lsingle_apply
@[simp]
theorem lapply_apply (a : α) (f : α →₀ M) : (lapply a : (α →₀ M) →ₗ[R] M) f = f a :=
rfl
#align finsupp.lapply_apply Finsupp.lapply_apply
@[simp]
theorem lapply_comp_lsingle_same (a : α) : lapply a ∘ₗ lsingle a = (.id : M →ₗ[R] M) := by ext; simp
@[simp]
theorem lapply_comp_lsingle_of_ne (a a' : α) (h : a ≠ a') :
lapply a ∘ₗ lsingle a' = (0 : M →ₗ[R] M) := by ext; simp [h.symm]
@[simp]
theorem ker_lsingle (a : α) : ker (lsingle a : M →ₗ[R] α →₀ M) = ⊥ :=
ker_eq_bot_of_injective (single_injective a)
#align finsupp.ker_lsingle Finsupp.ker_lsingle
theorem lsingle_range_le_ker_lapply (s t : Set α) (h : Disjoint s t) :
⨆ a ∈ s, LinearMap.range (lsingle a : M →ₗ[R] α →₀ M) ≤
⨅ a ∈ t, ker (lapply a : (α →₀ M) →ₗ[R] M) := by
refine iSup_le fun a₁ => iSup_le fun h₁ => range_le_iff_comap.2 ?_
simp only [(ker_comp _ _).symm, eq_top_iff, SetLike.le_def, mem_ker, comap_iInf, mem_iInf]
intro b _ a₂ h₂
have : a₁ ≠ a₂ := fun eq => h.le_bot ⟨h₁, eq.symm ▸ h₂⟩
exact single_eq_of_ne this
#align finsupp.lsingle_range_le_ker_lapply Finsupp.lsingle_range_le_ker_lapply
theorem iInf_ker_lapply_le_bot : ⨅ a, ker (lapply a : (α →₀ M) →ₗ[R] M) ≤ ⊥ := by
simp only [SetLike.le_def, mem_iInf, mem_ker, mem_bot, lapply_apply]
exact fun a h => Finsupp.ext h
#align finsupp.infi_ker_lapply_le_bot Finsupp.iInf_ker_lapply_le_bot
theorem iSup_lsingle_range : ⨆ a, LinearMap.range (lsingle a : M →ₗ[R] α →₀ M) = ⊤ := by
refine eq_top_iff.2 <| SetLike.le_def.2 fun f _ => ?_
rw [← sum_single f]
exact sum_mem fun a _ => Submodule.mem_iSup_of_mem a ⟨_, rfl⟩
#align finsupp.supr_lsingle_range Finsupp.iSup_lsingle_range
theorem disjoint_lsingle_lsingle (s t : Set α) (hs : Disjoint s t) :
Disjoint (⨆ a ∈ s, LinearMap.range (lsingle a : M →ₗ[R] α →₀ M))
(⨆ a ∈ t, LinearMap.range (lsingle a : M →ₗ[R] α →₀ M)) := by
-- Porting note: 2 placeholders are added to prevent timeout.
refine
(Disjoint.mono
(lsingle_range_le_ker_lapply s sᶜ ?_)
(lsingle_range_le_ker_lapply t tᶜ ?_))
?_
· apply disjoint_compl_right
· apply disjoint_compl_right
rw [disjoint_iff_inf_le]
refine le_trans (le_iInf fun i => ?_) iInf_ker_lapply_le_bot
classical
by_cases his : i ∈ s
· by_cases hit : i ∈ t
· exact (hs.le_bot ⟨his, hit⟩).elim
exact inf_le_of_right_le (iInf_le_of_le i <| iInf_le _ hit)
exact inf_le_of_left_le (iInf_le_of_le i <| iInf_le _ his)
#align finsupp.disjoint_lsingle_lsingle Finsupp.disjoint_lsingle_lsingle
| Mathlib/LinearAlgebra/Finsupp.lean | 287 | 289 | theorem span_single_image (s : Set M) (a : α) :
Submodule.span R (single a '' s) = (Submodule.span R s).map (lsingle a : M →ₗ[R] α →₀ M) := by |
rw [← span_image]; rfl
|
import Mathlib.Algebra.CharP.LocalRing
import Mathlib.RingTheory.Ideal.Quotient
import Mathlib.Tactic.FieldSimp
#align_import algebra.char_p.mixed_char_zero from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
variable (R : Type*) [CommRing R]
class MixedCharZero (p : ℕ) : Prop where
[toCharZero : CharZero R]
charP_quotient : ∃ I : Ideal R, I ≠ ⊤ ∧ CharP (R ⧸ I) p
#align mixed_char_zero MixedCharZero
namespace EqualCharZero
| Mathlib/Algebra/CharP/MixedCharZero.lean | 161 | 169 | theorem of_algebraRat [Algebra ℚ R] : ∀ I : Ideal R, I ≠ ⊤ → CharZero (R ⧸ I) := by |
intro I hI
constructor
intro a b h_ab
contrapose! hI
-- `↑a - ↑b` is a unit contained in `I`, which contradicts `I ≠ ⊤`.
refine I.eq_top_of_isUnit_mem ?_ (IsUnit.map (algebraMap ℚ R) (IsUnit.mk0 (a - b : ℚ) ?_))
· simpa only [← Ideal.Quotient.eq_zero_iff_mem, map_sub, sub_eq_zero, map_natCast]
simpa only [Ne, sub_eq_zero] using (@Nat.cast_injective ℚ _ _).ne hI
|
import Mathlib.Algebra.Ring.Int
import Mathlib.Data.Nat.Bitwise
import Mathlib.Data.Nat.Size
#align_import data.int.bitwise from "leanprover-community/mathlib"@"0743cc5d9d86bcd1bba10f480e948a257d65056f"
#align_import init.data.int.bitwise from "leanprover-community/lean"@"855e5b74e3a52a40552e8f067169d747d48743fd"
namespace Int
def div2 : ℤ → ℤ
| (n : ℕ) => n.div2
| -[n +1] => negSucc n.div2
#align int.div2 Int.div2
def bodd : ℤ → Bool
| (n : ℕ) => n.bodd
| -[n +1] => not (n.bodd)
#align int.bodd Int.bodd
-- Porting note: `bit0, bit1` deprecated, do we need to adapt `bit`?
set_option linter.deprecated false in
def bit (b : Bool) : ℤ → ℤ :=
cond b bit1 bit0
#align int.bit Int.bit
def testBit : ℤ → ℕ → Bool
| (m : ℕ), n => Nat.testBit m n
| -[m +1], n => !(Nat.testBit m n)
#align int.test_bit Int.testBit
def natBitwise (f : Bool → Bool → Bool) (m n : ℕ) : ℤ :=
cond (f false false) -[ Nat.bitwise (fun x y => not (f x y)) m n +1] (Nat.bitwise f m n)
#align int.nat_bitwise Int.natBitwise
def bitwise (f : Bool → Bool → Bool) : ℤ → ℤ → ℤ
| (m : ℕ), (n : ℕ) => natBitwise f m n
| (m : ℕ), -[n +1] => natBitwise (fun x y => f x (not y)) m n
| -[m +1], (n : ℕ) => natBitwise (fun x y => f (not x) y) m n
| -[m +1], -[n +1] => natBitwise (fun x y => f (not x) (not y)) m n
#align int.bitwise Int.bitwise
def lnot : ℤ → ℤ
| (m : ℕ) => -[m +1]
| -[m +1] => m
#align int.lnot Int.lnot
def lor : ℤ → ℤ → ℤ
| (m : ℕ), (n : ℕ) => m ||| n
| (m : ℕ), -[n +1] => -[Nat.ldiff n m +1]
| -[m +1], (n : ℕ) => -[Nat.ldiff m n +1]
| -[m +1], -[n +1] => -[m &&& n +1]
#align int.lor Int.lor
def land : ℤ → ℤ → ℤ
| (m : ℕ), (n : ℕ) => m &&& n
| (m : ℕ), -[n +1] => Nat.ldiff m n
| -[m +1], (n : ℕ) => Nat.ldiff n m
| -[m +1], -[n +1] => -[m ||| n +1]
#align int.land Int.land
-- Porting note: I don't know why `Nat.ldiff` got the prime, but I'm matching this change here
def ldiff : ℤ → ℤ → ℤ
| (m : ℕ), (n : ℕ) => Nat.ldiff m n
| (m : ℕ), -[n +1] => m &&& n
| -[m +1], (n : ℕ) => -[m ||| n +1]
| -[m +1], -[n +1] => Nat.ldiff n m
#align int.ldiff Int.ldiff
-- Porting note: I don't know why `Nat.xor'` got the prime, but I'm matching this change here
protected def xor : ℤ → ℤ → ℤ
| (m : ℕ), (n : ℕ) => (m ^^^ n)
| (m : ℕ), -[n +1] => -[(m ^^^ n) +1]
| -[m +1], (n : ℕ) => -[(m ^^^ n) +1]
| -[m +1], -[n +1] => (m ^^^ n)
#align int.lxor Int.xor
instance : ShiftLeft ℤ where
shiftLeft
| (m : ℕ), (n : ℕ) => Nat.shiftLeft' false m n
| (m : ℕ), -[n +1] => m >>> (Nat.succ n)
| -[m +1], (n : ℕ) => -[Nat.shiftLeft' true m n +1]
| -[m +1], -[n +1] => -[m >>> (Nat.succ n) +1]
#align int.shiftl ShiftLeft.shiftLeft
instance : ShiftRight ℤ where
shiftRight m n := m <<< (-n)
#align int.shiftr ShiftRight.shiftRight
@[simp]
theorem bodd_zero : bodd 0 = false :=
rfl
#align int.bodd_zero Int.bodd_zero
@[simp]
theorem bodd_one : bodd 1 = true :=
rfl
#align int.bodd_one Int.bodd_one
theorem bodd_two : bodd 2 = false :=
rfl
#align int.bodd_two Int.bodd_two
@[simp, norm_cast]
theorem bodd_coe (n : ℕ) : Int.bodd n = Nat.bodd n :=
rfl
#align int.bodd_coe Int.bodd_coe
@[simp]
theorem bodd_subNatNat (m n : ℕ) : bodd (subNatNat m n) = xor m.bodd n.bodd := by
apply subNatNat_elim m n fun m n i => bodd i = xor m.bodd n.bodd <;>
intros i j <;>
simp only [Int.bodd, Int.bodd_coe, Nat.bodd_add] <;>
cases Nat.bodd i <;> simp
#align int.bodd_sub_nat_nat Int.bodd_subNatNat
@[simp]
theorem bodd_negOfNat (n : ℕ) : bodd (negOfNat n) = n.bodd := by
cases n <;> simp (config := {decide := true})
rfl
#align int.bodd_neg_of_nat Int.bodd_negOfNat
@[simp]
theorem bodd_neg (n : ℤ) : bodd (-n) = bodd n := by
cases n with
| ofNat =>
rw [← negOfNat_eq, bodd_negOfNat]
simp
| negSucc n =>
rw [neg_negSucc, bodd_coe, Nat.bodd_succ]
change (!Nat.bodd n) = !(bodd n)
rw [bodd_coe]
-- Porting note: Heavily refactored proof, used to work all with `simp`:
-- `cases n <;> simp [Neg.neg, Int.natCast_eq_ofNat, Int.neg, bodd, -of_nat_eq_coe]`
#align int.bodd_neg Int.bodd_neg
@[simp]
theorem bodd_add (m n : ℤ) : bodd (m + n) = xor (bodd m) (bodd n) := by
cases' m with m m <;>
cases' n with n n <;>
simp only [ofNat_eq_coe, ofNat_add_negSucc, negSucc_add_ofNat,
negSucc_add_negSucc, bodd_subNatNat] <;>
simp only [negSucc_coe, bodd_neg, bodd_coe, ← Nat.bodd_add, Bool.xor_comm, ← Nat.cast_add]
rw [← Nat.succ_add, add_assoc]
-- Porting note: Heavily refactored proof, used to work all with `simp`:
-- `by cases m with m m; cases n with n n; unfold has_add.add;`
-- `simp [int.add, -of_nat_eq_coe, bool.xor_comm]`
#align int.bodd_add Int.bodd_add
@[simp]
| Mathlib/Data/Int/Bitwise.lean | 186 | 190 | theorem bodd_mul (m n : ℤ) : bodd (m * n) = (bodd m && bodd n) := by |
cases' m with m m <;> cases' n with n n <;>
simp only [ofNat_eq_coe, ofNat_mul_negSucc, negSucc_mul_ofNat, ofNat_mul_ofNat,
negSucc_mul_negSucc] <;>
simp only [negSucc_coe, bodd_neg, bodd_coe, ← Nat.bodd_mul]
|
import Mathlib.Algebra.Group.Support
import Mathlib.Algebra.Order.Monoid.WithTop
import Mathlib.Data.Nat.Cast.Field
#align_import algebra.char_zero.lemmas from "leanprover-community/mathlib"@"acee671f47b8e7972a1eb6f4eed74b4b3abce829"
open Function Set
section AddMonoidWithOne
variable {α M : Type*} [AddMonoidWithOne M] [CharZero M] {n : ℕ}
instance CharZero.NeZero.two : NeZero (2 : M) :=
⟨by
have : ((2 : ℕ) : M) ≠ 0 := Nat.cast_ne_zero.2 (by decide)
rwa [Nat.cast_two] at this⟩
#align char_zero.ne_zero.two CharZero.NeZero.two
section
variable {R : Type*} [NonAssocSemiring R] [NoZeroDivisors R] [CharZero R] {a : R}
@[simp]
theorem add_self_eq_zero {a : R} : a + a = 0 ↔ a = 0 := by
simp only [(two_mul a).symm, mul_eq_zero, two_ne_zero, false_or_iff]
#align add_self_eq_zero add_self_eq_zero
set_option linter.deprecated false
@[simp]
theorem bit0_eq_zero {a : R} : bit0 a = 0 ↔ a = 0 :=
add_self_eq_zero
#align bit0_eq_zero bit0_eq_zero
@[simp]
theorem zero_eq_bit0 {a : R} : 0 = bit0 a ↔ a = 0 := by
rw [eq_comm]
exact bit0_eq_zero
#align zero_eq_bit0 zero_eq_bit0
theorem bit0_ne_zero : bit0 a ≠ 0 ↔ a ≠ 0 :=
bit0_eq_zero.not
#align bit0_ne_zero bit0_ne_zero
theorem zero_ne_bit0 : 0 ≠ bit0 a ↔ a ≠ 0 :=
zero_eq_bit0.not
#align zero_ne_bit0 zero_ne_bit0
end
section
variable {R : Type*} [NonAssocRing R] [NoZeroDivisors R] [CharZero R]
@[simp] theorem neg_eq_self_iff {a : R} : -a = a ↔ a = 0 :=
neg_eq_iff_add_eq_zero.trans add_self_eq_zero
#align neg_eq_self_iff neg_eq_self_iff
@[simp] theorem eq_neg_self_iff {a : R} : a = -a ↔ a = 0 :=
eq_neg_iff_add_eq_zero.trans add_self_eq_zero
#align eq_neg_self_iff eq_neg_self_iff
theorem nat_mul_inj {n : ℕ} {a b : R} (h : (n : R) * a = (n : R) * b) : n = 0 ∨ a = b := by
rw [← sub_eq_zero, ← mul_sub, mul_eq_zero, sub_eq_zero] at h
exact mod_cast h
#align nat_mul_inj nat_mul_inj
| Mathlib/Algebra/CharZero/Lemmas.lean | 132 | 133 | theorem nat_mul_inj' {n : ℕ} {a b : R} (h : (n : R) * a = (n : R) * b) (w : n ≠ 0) : a = b := by |
simpa [w] using nat_mul_inj h
|
import Mathlib.LinearAlgebra.Matrix.Gershgorin
import Mathlib.NumberTheory.NumberField.CanonicalEmbedding.ConvexBody
import Mathlib.NumberTheory.NumberField.Units.Basic
import Mathlib.RingTheory.RootsOfUnity.Basic
#align_import number_theory.number_field.units from "leanprover-community/mathlib"@"00f91228655eecdcd3ac97a7fd8dbcb139fe990a"
open scoped NumberField
noncomputable section
open NumberField NumberField.InfinitePlace NumberField.Units BigOperators
variable (K : Type*) [Field K] [NumberField K]
namespace NumberField.Units.dirichletUnitTheorem
open scoped Classical
open Finset
variable {K}
def w₀ : InfinitePlace K := (inferInstance : Nonempty (InfinitePlace K)).some
variable (K)
def logEmbedding : Additive ((𝓞 K)ˣ) →+ ({w : InfinitePlace K // w ≠ w₀} → ℝ) :=
{ toFun := fun x w => mult w.val * Real.log (w.val ↑(Additive.toMul x))
map_zero' := by simp; rfl
map_add' := fun _ _ => by simp [Real.log_mul, mul_add]; rfl }
variable {K}
@[simp]
theorem logEmbedding_component (x : (𝓞 K)ˣ) (w : {w : InfinitePlace K // w ≠ w₀}) :
(logEmbedding K x) w = mult w.val * Real.log (w.val x) := rfl
theorem sum_logEmbedding_component (x : (𝓞 K)ˣ) :
∑ w, logEmbedding K x w = - mult (w₀ : InfinitePlace K) * Real.log (w₀ (x : K)) := by
have h := congr_arg Real.log (prod_eq_abs_norm (x : K))
rw [show |(Algebra.norm ℚ) (x : K)| = 1 from isUnit_iff_norm.mp x.isUnit, Rat.cast_one,
Real.log_one, Real.log_prod] at h
· simp_rw [Real.log_pow] at h
rw [← insert_erase (mem_univ w₀), sum_insert (not_mem_erase w₀ univ), add_comm,
add_eq_zero_iff_eq_neg] at h
convert h using 1
· refine (sum_subtype _ (fun w => ?_) (fun w => (mult w) * (Real.log (w (x : K))))).symm
exact ⟨ne_of_mem_erase, fun h => mem_erase_of_ne_of_mem h (mem_univ w)⟩
· norm_num
· exact fun w _ => pow_ne_zero _ (AbsoluteValue.ne_zero _ (coe_ne_zero x))
theorem mult_log_place_eq_zero {x : (𝓞 K)ˣ} {w : InfinitePlace K} :
mult w * Real.log (w x) = 0 ↔ w x = 1 := by
rw [mul_eq_zero, or_iff_right, Real.log_eq_zero, or_iff_right, or_iff_left]
· linarith [(apply_nonneg _ _ : 0 ≤ w x)]
· simp only [ne_eq, map_eq_zero, coe_ne_zero x, not_false_eq_true]
· refine (ne_of_gt ?_)
rw [mult]; split_ifs <;> norm_num
theorem logEmbedding_eq_zero_iff {x : (𝓞 K)ˣ} :
logEmbedding K x = 0 ↔ x ∈ torsion K := by
rw [mem_torsion]
refine ⟨fun h w => ?_, fun h => ?_⟩
· by_cases hw : w = w₀
· suffices -mult w₀ * Real.log (w₀ (x : K)) = 0 by
rw [neg_mul, neg_eq_zero, ← hw] at this
exact mult_log_place_eq_zero.mp this
rw [← sum_logEmbedding_component, sum_eq_zero]
exact fun w _ => congrFun h w
· exact mult_log_place_eq_zero.mp (congrFun h ⟨w, hw⟩)
· ext w
rw [logEmbedding_component, h w.val, Real.log_one, mul_zero, Pi.zero_apply]
theorem logEmbedding_component_le {r : ℝ} {x : (𝓞 K)ˣ} (hr : 0 ≤ r) (h : ‖logEmbedding K x‖ ≤ r)
(w : {w : InfinitePlace K // w ≠ w₀}) : |logEmbedding K x w| ≤ r := by
lift r to NNReal using hr
simp_rw [Pi.norm_def, NNReal.coe_le_coe, Finset.sup_le_iff, ← NNReal.coe_le_coe] at h
exact h w (mem_univ _)
| Mathlib/NumberTheory/NumberField/Units/DirichletTheorem.lean | 128 | 151 | theorem log_le_of_logEmbedding_le {r : ℝ} {x : (𝓞 K)ˣ} (hr : 0 ≤ r) (h : ‖logEmbedding K x‖ ≤ r)
(w : InfinitePlace K) : |Real.log (w x)| ≤ (Fintype.card (InfinitePlace K)) * r := by |
have tool : ∀ x : ℝ, 0 ≤ x → x ≤ mult w * x := fun x hx => by
nth_rw 1 [← one_mul x]
refine mul_le_mul ?_ le_rfl hx ?_
all_goals { rw [mult]; split_ifs <;> norm_num }
by_cases hw : w = w₀
· have hyp := congr_arg (‖·‖) (sum_logEmbedding_component x).symm
replace hyp := (le_of_eq hyp).trans (norm_sum_le _ _)
simp_rw [norm_mul, norm_neg, Real.norm_eq_abs, Nat.abs_cast] at hyp
refine (le_trans ?_ hyp).trans ?_
· rw [← hw]
exact tool _ (abs_nonneg _)
· refine (sum_le_card_nsmul univ _ _
(fun w _ => logEmbedding_component_le hr h w)).trans ?_
rw [nsmul_eq_mul]
refine mul_le_mul ?_ le_rfl hr (Fintype.card (InfinitePlace K)).cast_nonneg
simp [card_univ]
· have hyp := logEmbedding_component_le hr h ⟨w, hw⟩
rw [logEmbedding_component, abs_mul, Nat.abs_cast] at hyp
refine (le_trans ?_ hyp).trans ?_
· exact tool _ (abs_nonneg _)
· nth_rw 1 [← one_mul r]
exact mul_le_mul (Nat.one_le_cast.mpr Fintype.card_pos) (le_of_eq rfl) hr (Nat.cast_nonneg _)
|
import Mathlib.Algebra.Category.ModuleCat.Free
import Mathlib.Topology.Category.Profinite.CofilteredLimit
import Mathlib.Topology.Category.Profinite.Product
import Mathlib.Topology.LocallyConstant.Algebra
import Mathlib.Init.Data.Bool.Lemmas
universe u
namespace Profinite
namespace NobelingProof
variable {I : Type u} [LinearOrder I] [IsWellOrder I (·<·)] (C : Set (I → Bool))
open Profinite ContinuousMap CategoryTheory Limits Opposite Submodule
section Projections
variable (J K L : I → Prop) [∀ i, Decidable (J i)] [∀ i, Decidable (K i)] [∀ i, Decidable (L i)]
def Proj : (I → Bool) → (I → Bool) :=
fun c i ↦ if J i then c i else false
@[simp]
theorem continuous_proj :
Continuous (Proj J : (I → Bool) → (I → Bool)) := by
dsimp (config := { unfoldPartialApp := true }) [Proj]
apply continuous_pi
intro i
split
· apply continuous_apply
· apply continuous_const
def π : Set (I → Bool) := (Proj J) '' C
@[simps!]
def ProjRestrict : C → π C J :=
Set.MapsTo.restrict (Proj J) _ _ (Set.mapsTo_image _ _)
@[simp]
theorem continuous_projRestrict : Continuous (ProjRestrict C J) :=
Continuous.restrict _ (continuous_proj _)
theorem proj_eq_self {x : I → Bool} (h : ∀ i, x i ≠ false → J i) : Proj J x = x := by
ext i
simp only [Proj, ite_eq_left_iff]
contrapose!
simpa only [ne_comm] using h i
theorem proj_prop_eq_self (hh : ∀ i x, x ∈ C → x i ≠ false → J i) : π C J = C := by
ext x
refine ⟨fun ⟨y, hy, h⟩ ↦ ?_, fun h ↦ ⟨x, h, ?_⟩⟩
· rwa [← h, proj_eq_self]; exact (hh · y hy)
· rw [proj_eq_self]; exact (hh · x h)
theorem proj_comp_of_subset (h : ∀ i, J i → K i) : (Proj J ∘ Proj K) =
(Proj J : (I → Bool) → (I → Bool)) := by
ext x i; dsimp [Proj]; aesop
theorem proj_eq_of_subset (h : ∀ i, J i → K i) : π (π C K) J = π C J := by
ext x
refine ⟨fun h ↦ ?_, fun h ↦ ?_⟩
· obtain ⟨y, ⟨z, hz, rfl⟩, rfl⟩ := h
refine ⟨z, hz, (?_ : _ = (Proj J ∘ Proj K) z)⟩
rw [proj_comp_of_subset J K h]
· obtain ⟨y, hy, rfl⟩ := h
dsimp [π]
rw [← Set.image_comp]
refine ⟨y, hy, ?_⟩
rw [proj_comp_of_subset J K h]
variable {J K L}
@[simps!]
def ProjRestricts (h : ∀ i, J i → K i) : π C K → π C J :=
Homeomorph.setCongr (proj_eq_of_subset C J K h) ∘ ProjRestrict (π C K) J
@[simp]
theorem continuous_projRestricts (h : ∀ i, J i → K i) : Continuous (ProjRestricts C h) :=
Continuous.comp (Homeomorph.continuous _) (continuous_projRestrict _ _)
theorem surjective_projRestricts (h : ∀ i, J i → K i) : Function.Surjective (ProjRestricts C h) :=
(Homeomorph.surjective _).comp (Set.surjective_mapsTo_image_restrict _ _)
variable (J) in
theorem projRestricts_eq_id : ProjRestricts C (fun i (h : J i) ↦ h) = id := by
ext ⟨x, y, hy, rfl⟩ i
simp (config := { contextual := true }) only [π, Proj, ProjRestricts_coe, id_eq, if_true]
theorem projRestricts_eq_comp (hJK : ∀ i, J i → K i) (hKL : ∀ i, K i → L i) :
ProjRestricts C hJK ∘ ProjRestricts C hKL = ProjRestricts C (fun i ↦ hKL i ∘ hJK i) := by
ext x i
simp only [π, Proj, Function.comp_apply, ProjRestricts_coe]
aesop
| Mathlib/Topology/Category/Profinite/Nobeling.lean | 166 | 170 | theorem projRestricts_comp_projRestrict (h : ∀ i, J i → K i) :
ProjRestricts C h ∘ ProjRestrict C K = ProjRestrict C J := by |
ext x i
simp only [π, Proj, Function.comp_apply, ProjRestricts_coe, ProjRestrict_coe]
aesop
|
import Mathlib.Analysis.SpecialFunctions.Trigonometric.Basic
import Mathlib.Analysis.Normed.Group.AddCircle
import Mathlib.Algebra.CharZero.Quotient
import Mathlib.Topology.Instances.Sign
#align_import analysis.special_functions.trigonometric.angle from "leanprover-community/mathlib"@"213b0cff7bc5ab6696ee07cceec80829ce42efec"
open Real
noncomputable section
namespace Real
-- Porting note: can't derive `NormedAddCommGroup, Inhabited`
def Angle : Type :=
AddCircle (2 * π)
#align real.angle Real.Angle
namespace Angle
-- Porting note (#10754): added due to missing instances due to no deriving
instance : NormedAddCommGroup Angle :=
inferInstanceAs (NormedAddCommGroup (AddCircle (2 * π)))
-- Porting note (#10754): added due to missing instances due to no deriving
instance : Inhabited Angle :=
inferInstanceAs (Inhabited (AddCircle (2 * π)))
-- Porting note (#10754): added due to missing instances due to no deriving
-- also, without this, a plain `QuotientAddGroup.mk`
-- causes coerced terms to be of type `ℝ ⧸ AddSubgroup.zmultiples (2 * π)`
@[coe]
protected def coe (r : ℝ) : Angle := QuotientAddGroup.mk r
instance : Coe ℝ Angle := ⟨Angle.coe⟩
instance : CircularOrder Real.Angle :=
QuotientAddGroup.circularOrder (hp' := ⟨by norm_num [pi_pos]⟩)
@[continuity]
theorem continuous_coe : Continuous ((↑) : ℝ → Angle) :=
continuous_quotient_mk'
#align real.angle.continuous_coe Real.Angle.continuous_coe
def coeHom : ℝ →+ Angle :=
QuotientAddGroup.mk' _
#align real.angle.coe_hom Real.Angle.coeHom
@[simp]
theorem coe_coeHom : (coeHom : ℝ → Angle) = ((↑) : ℝ → Angle) :=
rfl
#align real.angle.coe_coe_hom Real.Angle.coe_coeHom
@[elab_as_elim]
protected theorem induction_on {p : Angle → Prop} (θ : Angle) (h : ∀ x : ℝ, p x) : p θ :=
Quotient.inductionOn' θ h
#align real.angle.induction_on Real.Angle.induction_on
@[simp]
theorem coe_zero : ↑(0 : ℝ) = (0 : Angle) :=
rfl
#align real.angle.coe_zero Real.Angle.coe_zero
@[simp]
theorem coe_add (x y : ℝ) : ↑(x + y : ℝ) = (↑x + ↑y : Angle) :=
rfl
#align real.angle.coe_add Real.Angle.coe_add
@[simp]
theorem coe_neg (x : ℝ) : ↑(-x : ℝ) = -(↑x : Angle) :=
rfl
#align real.angle.coe_neg Real.Angle.coe_neg
@[simp]
theorem coe_sub (x y : ℝ) : ↑(x - y : ℝ) = (↑x - ↑y : Angle) :=
rfl
#align real.angle.coe_sub Real.Angle.coe_sub
theorem coe_nsmul (n : ℕ) (x : ℝ) : ↑(n • x : ℝ) = n • (↑x : Angle) :=
rfl
#align real.angle.coe_nsmul Real.Angle.coe_nsmul
theorem coe_zsmul (z : ℤ) (x : ℝ) : ↑(z • x : ℝ) = z • (↑x : Angle) :=
rfl
#align real.angle.coe_zsmul Real.Angle.coe_zsmul
@[simp, norm_cast]
theorem natCast_mul_eq_nsmul (x : ℝ) (n : ℕ) : ↑((n : ℝ) * x) = n • (↑x : Angle) := by
simpa only [nsmul_eq_mul] using coeHom.map_nsmul x n
#align real.angle.coe_nat_mul_eq_nsmul Real.Angle.natCast_mul_eq_nsmul
@[simp, norm_cast]
theorem intCast_mul_eq_zsmul (x : ℝ) (n : ℤ) : ↑((n : ℝ) * x : ℝ) = n • (↑x : Angle) := by
simpa only [zsmul_eq_mul] using coeHom.map_zsmul x n
#align real.angle.coe_int_mul_eq_zsmul Real.Angle.intCast_mul_eq_zsmul
@[deprecated (since := "2024-05-25")] alias coe_nat_mul_eq_nsmul := natCast_mul_eq_nsmul
@[deprecated (since := "2024-05-25")] alias coe_int_mul_eq_zsmul := intCast_mul_eq_zsmul
theorem angle_eq_iff_two_pi_dvd_sub {ψ θ : ℝ} : (θ : Angle) = ψ ↔ ∃ k : ℤ, θ - ψ = 2 * π * k := by
simp only [QuotientAddGroup.eq, AddSubgroup.zmultiples_eq_closure,
AddSubgroup.mem_closure_singleton, zsmul_eq_mul', (sub_eq_neg_add _ _).symm, eq_comm]
-- Porting note: added `rw`, `simp [Angle.coe, QuotientAddGroup.eq]` doesn't fire otherwise
rw [Angle.coe, Angle.coe, QuotientAddGroup.eq]
simp only [AddSubgroup.zmultiples_eq_closure,
AddSubgroup.mem_closure_singleton, zsmul_eq_mul', (sub_eq_neg_add _ _).symm, eq_comm]
#align real.angle.angle_eq_iff_two_pi_dvd_sub Real.Angle.angle_eq_iff_two_pi_dvd_sub
@[simp]
theorem coe_two_pi : ↑(2 * π : ℝ) = (0 : Angle) :=
angle_eq_iff_two_pi_dvd_sub.2 ⟨1, by rw [sub_zero, Int.cast_one, mul_one]⟩
#align real.angle.coe_two_pi Real.Angle.coe_two_pi
@[simp]
theorem neg_coe_pi : -(π : Angle) = π := by
rw [← coe_neg, angle_eq_iff_two_pi_dvd_sub]
use -1
simp [two_mul, sub_eq_add_neg]
#align real.angle.neg_coe_pi Real.Angle.neg_coe_pi
@[simp]
theorem two_nsmul_coe_div_two (θ : ℝ) : (2 : ℕ) • (↑(θ / 2) : Angle) = θ := by
rw [← coe_nsmul, two_nsmul, add_halves]
#align real.angle.two_nsmul_coe_div_two Real.Angle.two_nsmul_coe_div_two
@[simp]
theorem two_zsmul_coe_div_two (θ : ℝ) : (2 : ℤ) • (↑(θ / 2) : Angle) = θ := by
rw [← coe_zsmul, two_zsmul, add_halves]
#align real.angle.two_zsmul_coe_div_two Real.Angle.two_zsmul_coe_div_two
-- Porting note (#10618): @[simp] can prove it
theorem two_nsmul_neg_pi_div_two : (2 : ℕ) • (↑(-π / 2) : Angle) = π := by
rw [two_nsmul_coe_div_two, coe_neg, neg_coe_pi]
#align real.angle.two_nsmul_neg_pi_div_two Real.Angle.two_nsmul_neg_pi_div_two
-- Porting note (#10618): @[simp] can prove it
theorem two_zsmul_neg_pi_div_two : (2 : ℤ) • (↑(-π / 2) : Angle) = π := by
rw [two_zsmul, ← two_nsmul, two_nsmul_neg_pi_div_two]
#align real.angle.two_zsmul_neg_pi_div_two Real.Angle.two_zsmul_neg_pi_div_two
| Mathlib/Analysis/SpecialFunctions/Trigonometric/Angle.lean | 160 | 161 | theorem sub_coe_pi_eq_add_coe_pi (θ : Angle) : θ - π = θ + π := by |
rw [sub_eq_add_neg, neg_coe_pi]
|
import Mathlib.Algebra.Group.Defs
import Mathlib.Algebra.GroupWithZero.Defs
import Mathlib.Data.Int.Cast.Defs
import Mathlib.Tactic.Spread
import Mathlib.Util.AssertExists
#align_import algebra.ring.defs from "leanprover-community/mathlib"@"76de8ae01554c3b37d66544866659ff174e66e1f"
universe u v w x
variable {α : Type u} {β : Type v} {γ : Type w} {R : Type x}
open Function
class Distrib (R : Type*) extends Mul R, Add R where
protected left_distrib : ∀ a b c : R, a * (b + c) = a * b + a * c
protected right_distrib : ∀ a b c : R, (a + b) * c = a * c + b * c
#align distrib Distrib
class LeftDistribClass (R : Type*) [Mul R] [Add R] : Prop where
protected left_distrib : ∀ a b c : R, a * (b + c) = a * b + a * c
#align left_distrib_class LeftDistribClass
class RightDistribClass (R : Type*) [Mul R] [Add R] : Prop where
protected right_distrib : ∀ a b c : R, (a + b) * c = a * c + b * c
#align right_distrib_class RightDistribClass
-- see Note [lower instance priority]
instance (priority := 100) Distrib.leftDistribClass (R : Type*) [Distrib R] : LeftDistribClass R :=
⟨Distrib.left_distrib⟩
#align distrib.left_distrib_class Distrib.leftDistribClass
-- see Note [lower instance priority]
instance (priority := 100) Distrib.rightDistribClass (R : Type*) [Distrib R] :
RightDistribClass R :=
⟨Distrib.right_distrib⟩
#align distrib.right_distrib_class Distrib.rightDistribClass
theorem left_distrib [Mul R] [Add R] [LeftDistribClass R] (a b c : R) :
a * (b + c) = a * b + a * c :=
LeftDistribClass.left_distrib a b c
#align left_distrib left_distrib
alias mul_add := left_distrib
#align mul_add mul_add
theorem right_distrib [Mul R] [Add R] [RightDistribClass R] (a b c : R) :
(a + b) * c = a * c + b * c :=
RightDistribClass.right_distrib a b c
#align right_distrib right_distrib
alias add_mul := right_distrib
#align add_mul add_mul
theorem distrib_three_right [Mul R] [Add R] [RightDistribClass R] (a b c d : R) :
(a + b + c) * d = a * d + b * d + c * d := by simp [right_distrib]
#align distrib_three_right distrib_three_right
class NonUnitalNonAssocSemiring (α : Type u) extends AddCommMonoid α, Distrib α, MulZeroClass α
#align non_unital_non_assoc_semiring NonUnitalNonAssocSemiring
class NonUnitalSemiring (α : Type u) extends NonUnitalNonAssocSemiring α, SemigroupWithZero α
#align non_unital_semiring NonUnitalSemiring
class NonAssocSemiring (α : Type u) extends NonUnitalNonAssocSemiring α, MulZeroOneClass α,
AddCommMonoidWithOne α
#align non_assoc_semiring NonAssocSemiring
class NonUnitalNonAssocRing (α : Type u) extends AddCommGroup α, NonUnitalNonAssocSemiring α
#align non_unital_non_assoc_ring NonUnitalNonAssocRing
class NonUnitalRing (α : Type*) extends NonUnitalNonAssocRing α, NonUnitalSemiring α
#align non_unital_ring NonUnitalRing
class NonAssocRing (α : Type*) extends NonUnitalNonAssocRing α, NonAssocSemiring α,
AddCommGroupWithOne α
#align non_assoc_ring NonAssocRing
class Semiring (α : Type u) extends NonUnitalSemiring α, NonAssocSemiring α, MonoidWithZero α
#align semiring Semiring
class Ring (R : Type u) extends Semiring R, AddCommGroup R, AddGroupWithOne R
#align ring Ring
@[to_additive]
theorem mul_ite {α} [Mul α] (P : Prop) [Decidable P] (a b c : α) :
(a * if P then b else c) = if P then a * b else a * c := by split_ifs <;> rfl
#align mul_ite mul_ite
#align add_ite add_ite
@[to_additive]
theorem ite_mul {α} [Mul α] (P : Prop) [Decidable P] (a b c : α) :
(if P then a else b) * c = if P then a * c else b * c := by split_ifs <;> rfl
#align ite_mul ite_mul
#align ite_add ite_add
-- We make `mul_ite` and `ite_mul` simp lemmas,
-- but not `add_ite` or `ite_add`.
-- The problem we're trying to avoid is dealing with
-- summations of the form `∑ x ∈ s, (f x + ite P 1 0)`,
-- in which `add_ite` followed by `sum_ite` would needlessly slice up
-- the `f x` terms according to whether `P` holds at `x`.
-- There doesn't appear to be a corresponding difficulty so far with
-- `mul_ite` and `ite_mul`.
attribute [simp] mul_ite ite_mul
theorem ite_sub_ite {α} [Sub α] (P : Prop) [Decidable P] (a b c d : α) :
((if P then a else b) - if P then c else d) = if P then a - c else b - d := by
split
repeat rfl
theorem ite_add_ite {α} [Add α] (P : Prop) [Decidable P] (a b c d : α) :
((if P then a else b) + if P then c else d) = if P then a + c else b + d := by
split
repeat rfl
-- Porting note: no @[simp] because simp proves it
theorem mul_boole {α} [MulZeroOneClass α] (P : Prop) [Decidable P] (a : α) :
(a * if P then 1 else 0) = if P then a else 0 := by simp
#align mul_boole mul_boole
-- Porting note: no @[simp] because simp proves it
theorem boole_mul {α} [MulZeroOneClass α] (P : Prop) [Decidable P] (a : α) :
(if P then 1 else 0) * a = if P then a else 0 := by simp
#align boole_mul boole_mul
class NonUnitalNonAssocCommSemiring (α : Type u) extends NonUnitalNonAssocSemiring α, CommMagma α
class NonUnitalCommSemiring (α : Type u) extends NonUnitalSemiring α, CommSemigroup α
#align non_unital_comm_semiring NonUnitalCommSemiring
class CommSemiring (R : Type u) extends Semiring R, CommMonoid R
#align comm_semiring CommSemiring
-- see Note [lower instance priority]
instance (priority := 100) CommSemiring.toNonUnitalCommSemiring [CommSemiring α] :
NonUnitalCommSemiring α :=
{ inferInstanceAs (CommMonoid α), inferInstanceAs (CommSemiring α) with }
#align comm_semiring.to_non_unital_comm_semiring CommSemiring.toNonUnitalCommSemiring
-- see Note [lower instance priority]
instance (priority := 100) CommSemiring.toCommMonoidWithZero [CommSemiring α] :
CommMonoidWithZero α :=
{ inferInstanceAs (CommMonoid α), inferInstanceAs (CommSemiring α) with }
#align comm_semiring.to_comm_monoid_with_zero CommSemiring.toCommMonoidWithZero
section HasDistribNeg
class HasDistribNeg (α : Type*) [Mul α] extends InvolutiveNeg α where
neg_mul : ∀ x y : α, -x * y = -(x * y)
mul_neg : ∀ x y : α, x * -y = -(x * y)
#align has_distrib_neg HasDistribNeg
section Mul
variable [Mul α] [HasDistribNeg α]
@[simp]
theorem neg_mul (a b : α) : -a * b = -(a * b) :=
HasDistribNeg.neg_mul _ _
#align neg_mul neg_mul
@[simp]
theorem mul_neg (a b : α) : a * -b = -(a * b) :=
HasDistribNeg.mul_neg _ _
#align mul_neg mul_neg
| Mathlib/Algebra/Ring/Defs.lean | 327 | 327 | theorem neg_mul_neg (a b : α) : -a * -b = a * b := by | simp
|
import Mathlib.CategoryTheory.Comma.Basic
#align_import category_theory.arrow from "leanprover-community/mathlib"@"32253a1a1071173b33dc7d6a218cf722c6feb514"
namespace CategoryTheory
universe v u
-- morphism levels before object levels. See note [CategoryTheory universes].
variable {T : Type u} [Category.{v} T]
section
variable (T)
def Arrow :=
Comma.{v, v, v} (𝟭 T) (𝟭 T)
#align category_theory.arrow CategoryTheory.Arrow
instance : Category (Arrow T) := commaCategory
-- Satisfying the inhabited linter
instance Arrow.inhabited [Inhabited T] : Inhabited (Arrow T) where
default := show Comma (𝟭 T) (𝟭 T) from default
#align category_theory.arrow.inhabited CategoryTheory.Arrow.inhabited
end
namespace Arrow
@[ext]
lemma hom_ext {X Y : Arrow T} (f g : X ⟶ Y) (h₁ : f.left = g.left) (h₂ : f.right = g.right) :
f = g :=
CommaMorphism.ext _ _ h₁ h₂
@[simp]
theorem id_left (f : Arrow T) : CommaMorphism.left (𝟙 f) = 𝟙 f.left :=
rfl
#align category_theory.arrow.id_left CategoryTheory.Arrow.id_left
@[simp]
theorem id_right (f : Arrow T) : CommaMorphism.right (𝟙 f) = 𝟙 f.right :=
rfl
#align category_theory.arrow.id_right CategoryTheory.Arrow.id_right
-- Porting note (#10688): added to ease automation
@[simp, reassoc]
theorem comp_left {X Y Z : Arrow T} (f : X ⟶ Y) (g : Y ⟶ Z) :
(f ≫ g).left = f.left ≫ g.left := rfl
-- Porting note (#10688): added to ease automation
@[simp, reassoc]
theorem comp_right {X Y Z : Arrow T} (f : X ⟶ Y) (g : Y ⟶ Z) :
(f ≫ g).right = f.right ≫ g.right := rfl
@[simps]
def mk {X Y : T} (f : X ⟶ Y) : Arrow T where
left := X
right := Y
hom := f
#align category_theory.arrow.mk CategoryTheory.Arrow.mk
@[simp]
theorem mk_eq (f : Arrow T) : Arrow.mk f.hom = f := by
cases f
rfl
#align category_theory.arrow.mk_eq CategoryTheory.Arrow.mk_eq
theorem mk_injective (A B : T) :
Function.Injective (Arrow.mk : (A ⟶ B) → Arrow T) := fun f g h => by
cases h
rfl
#align category_theory.arrow.mk_injective CategoryTheory.Arrow.mk_injective
theorem mk_inj (A B : T) {f g : A ⟶ B} : Arrow.mk f = Arrow.mk g ↔ f = g :=
(mk_injective A B).eq_iff
#align category_theory.arrow.mk_inj CategoryTheory.Arrow.mk_inj
instance {X Y : T} : CoeOut (X ⟶ Y) (Arrow T) where
coe := mk
@[simps]
def homMk {f g : Arrow T} {u : f.left ⟶ g.left} {v : f.right ⟶ g.right}
(w : u ≫ g.hom = f.hom ≫ v) : f ⟶ g where
left := u
right := v
w := w
#align category_theory.arrow.hom_mk CategoryTheory.Arrow.homMk
@[simps]
def homMk' {X Y : T} {f : X ⟶ Y} {P Q : T} {g : P ⟶ Q} {u : X ⟶ P} {v : Y ⟶ Q} (w : u ≫ g = f ≫ v) :
Arrow.mk f ⟶ Arrow.mk g where
left := u
right := v
w := w
#align category_theory.arrow.hom_mk' CategoryTheory.Arrow.homMk'
@[reassoc (attr := simp, nolint simpNF)]
theorem w {f g : Arrow T} (sq : f ⟶ g) : sq.left ≫ g.hom = f.hom ≫ sq.right :=
sq.w
#align category_theory.arrow.w CategoryTheory.Arrow.w
-- `w_mk_left` is not needed, as it is a consequence of `w` and `mk_hom`.
@[reassoc (attr := simp)]
theorem w_mk_right {f : Arrow T} {X Y : T} {g : X ⟶ Y} (sq : f ⟶ mk g) :
sq.left ≫ g = f.hom ≫ sq.right :=
sq.w
#align category_theory.arrow.w_mk_right CategoryTheory.Arrow.w_mk_right
theorem isIso_of_isIso_left_of_isIso_right {f g : Arrow T} (ff : f ⟶ g) [IsIso ff.left]
[IsIso ff.right] : IsIso ff where
out := by
let inverse : g ⟶ f := ⟨inv ff.left, inv ff.right, (by simp)⟩
apply Exists.intro inverse
aesop_cat
#align category_theory.arrow.is_iso_of_iso_left_of_is_iso_right CategoryTheory.Arrow.isIso_of_isIso_left_of_isIso_right
@[simps!]
def isoMk {f g : Arrow T} (l : f.left ≅ g.left) (r : f.right ≅ g.right)
(h : l.hom ≫ g.hom = f.hom ≫ r.hom := by aesop_cat) : f ≅ g :=
Comma.isoMk l r h
#align category_theory.arrow.iso_mk CategoryTheory.Arrow.isoMk
abbrev isoMk' {W X Y Z : T} (f : W ⟶ X) (g : Y ⟶ Z) (e₁ : W ≅ Y) (e₂ : X ≅ Z)
(h : e₁.hom ≫ g = f ≫ e₂.hom := by aesop_cat) : Arrow.mk f ≅ Arrow.mk g :=
Arrow.isoMk e₁ e₂ h
#align category_theory.arrow.iso_mk' CategoryTheory.Arrow.isoMk'
theorem hom.congr_left {f g : Arrow T} {φ₁ φ₂ : f ⟶ g} (h : φ₁ = φ₂) : φ₁.left = φ₂.left := by
rw [h]
#align category_theory.arrow.hom.congr_left CategoryTheory.Arrow.hom.congr_left
@[simp]
theorem hom.congr_right {f g : Arrow T} {φ₁ φ₂ : f ⟶ g} (h : φ₁ = φ₂) : φ₁.right = φ₂.right := by
rw [h]
#align category_theory.arrow.hom.congr_right CategoryTheory.Arrow.hom.congr_right
theorem iso_w {f g : Arrow T} (e : f ≅ g) : g.hom = e.inv.left ≫ f.hom ≫ e.hom.right := by
have eq := Arrow.hom.congr_right e.inv_hom_id
rw [Arrow.comp_right, Arrow.id_right] at eq
erw [Arrow.w_assoc, eq, Category.comp_id]
#align category_theory.arrow.iso_w CategoryTheory.Arrow.iso_w
theorem iso_w' {W X Y Z : T} {f : W ⟶ X} {g : Y ⟶ Z} (e : Arrow.mk f ≅ Arrow.mk g) :
g = e.inv.left ≫ f ≫ e.hom.right :=
iso_w e
#align category_theory.arrow.iso_w' CategoryTheory.Arrow.iso_w'
section
variable {f g : Arrow T} (sq : f ⟶ g)
instance isIso_left [IsIso sq] : IsIso sq.left where
out := by
apply Exists.intro (inv sq).left
simp only [← Comma.comp_left, IsIso.hom_inv_id, IsIso.inv_hom_id, Arrow.id_left,
eq_self_iff_true, and_self_iff]
simp
#align category_theory.arrow.is_iso_left CategoryTheory.Arrow.isIso_left
instance isIso_right [IsIso sq] : IsIso sq.right where
out := by
apply Exists.intro (inv sq).right
simp only [← Comma.comp_right, IsIso.hom_inv_id, IsIso.inv_hom_id, Arrow.id_right,
eq_self_iff_true, and_self_iff]
simp
#align category_theory.arrow.is_iso_right CategoryTheory.Arrow.isIso_right
@[simp]
theorem inv_left [IsIso sq] : (inv sq).left = inv sq.left :=
IsIso.eq_inv_of_hom_inv_id <| by rw [← Comma.comp_left, IsIso.hom_inv_id, id_left]
#align category_theory.arrow.inv_left CategoryTheory.Arrow.inv_left
@[simp]
theorem inv_right [IsIso sq] : (inv sq).right = inv sq.right :=
IsIso.eq_inv_of_hom_inv_id <| by rw [← Comma.comp_right, IsIso.hom_inv_id, id_right]
#align category_theory.arrow.inv_right CategoryTheory.Arrow.inv_right
theorem left_hom_inv_right [IsIso sq] : sq.left ≫ g.hom ≫ inv sq.right = f.hom := by
simp only [← Category.assoc, IsIso.comp_inv_eq, w]
#align category_theory.arrow.left_hom_inv_right CategoryTheory.Arrow.left_hom_inv_right
-- simp proves this
theorem inv_left_hom_right [IsIso sq] : inv sq.left ≫ f.hom ≫ sq.right = g.hom := by
simp only [w, IsIso.inv_comp_eq]
#align category_theory.arrow.inv_left_hom_right CategoryTheory.Arrow.inv_left_hom_right
instance mono_left [Mono sq] : Mono sq.left where
right_cancellation {Z} φ ψ h := by
let aux : (Z ⟶ f.left) → (Arrow.mk (𝟙 Z) ⟶ f) := fun φ =>
{ left := φ
right := φ ≫ f.hom }
have : ∀ g, (aux g).right = g ≫ f.hom := fun g => by dsimp
show (aux φ).left = (aux ψ).left
congr 1
rw [← cancel_mono sq]
apply CommaMorphism.ext
· exact h
· rw [Comma.comp_right, Comma.comp_right, this, this, Category.assoc, Category.assoc]
rw [← Arrow.w]
simp only [← Category.assoc, h]
#align category_theory.arrow.mono_left CategoryTheory.Arrow.mono_left
instance epi_right [Epi sq] : Epi sq.right where
left_cancellation {Z} φ ψ h := by
let aux : (g.right ⟶ Z) → (g ⟶ Arrow.mk (𝟙 Z)) := fun φ =>
{ right := φ
left := g.hom ≫ φ }
show (aux φ).right = (aux ψ).right
congr 1
rw [← cancel_epi sq]
apply CommaMorphism.ext
· rw [Comma.comp_left, Comma.comp_left, Arrow.w_assoc, Arrow.w_assoc, h]
· exact h
#align category_theory.arrow.epi_right CategoryTheory.Arrow.epi_right
@[reassoc (attr := simp)]
lemma hom_inv_id_left (e : f ≅ g) : e.hom.left ≫ e.inv.left = 𝟙 _ := by
rw [← comp_left, e.hom_inv_id, id_left]
@[reassoc (attr := simp)]
lemma inv_hom_id_left (e : f ≅ g) : e.inv.left ≫ e.hom.left = 𝟙 _ := by
rw [← comp_left, e.inv_hom_id, id_left]
@[reassoc (attr := simp)]
lemma hom_inv_id_right (e : f ≅ g) : e.hom.right ≫ e.inv.right = 𝟙 _ := by
rw [← comp_right, e.hom_inv_id, id_right]
@[reassoc (attr := simp)]
lemma inv_hom_id_right (e : f ≅ g) : e.inv.right ≫ e.hom.right = 𝟙 _ := by
rw [← comp_right, e.inv_hom_id, id_right]
end
@[simp]
| Mathlib/CategoryTheory/Comma/Arrow.lean | 272 | 274 | theorem square_to_iso_invert (i : Arrow T) {X Y : T} (p : X ≅ Y) (sq : i ⟶ Arrow.mk p.hom) :
i.hom ≫ sq.right ≫ p.inv = sq.left := by |
simpa only [Category.assoc] using (Iso.comp_inv_eq p).mpr (Arrow.w_mk_right sq).symm
|
import Mathlib.MeasureTheory.Measure.MeasureSpace
open scoped ENNReal NNReal Topology
open Set MeasureTheory Measure Filter MeasurableSpace ENNReal Function
variable {R α β δ γ ι : Type*}
namespace MeasureTheory
variable {m0 : MeasurableSpace α} [MeasurableSpace β] [MeasurableSpace γ]
variable {μ μ₁ μ₂ μ₃ ν ν' ν₁ ν₂ : Measure α} {s s' t : Set α}
namespace Measure
noncomputable def restrictₗ {m0 : MeasurableSpace α} (s : Set α) : Measure α →ₗ[ℝ≥0∞] Measure α :=
liftLinear (OuterMeasure.restrict s) fun μ s' hs' t => by
suffices μ (s ∩ t) = μ (s ∩ t ∩ s') + μ ((s ∩ t) \ s') by
simpa [← Set.inter_assoc, Set.inter_comm _ s, ← inter_diff_assoc]
exact le_toOuterMeasure_caratheodory _ _ hs' _
#align measure_theory.measure.restrictₗ MeasureTheory.Measure.restrictₗ
noncomputable def restrict {_m0 : MeasurableSpace α} (μ : Measure α) (s : Set α) : Measure α :=
restrictₗ s μ
#align measure_theory.measure.restrict MeasureTheory.Measure.restrict
@[simp]
theorem restrictₗ_apply {_m0 : MeasurableSpace α} (s : Set α) (μ : Measure α) :
restrictₗ s μ = μ.restrict s :=
rfl
#align measure_theory.measure.restrictₗ_apply MeasureTheory.Measure.restrictₗ_apply
theorem restrict_toOuterMeasure_eq_toOuterMeasure_restrict (h : MeasurableSet s) :
(μ.restrict s).toOuterMeasure = OuterMeasure.restrict s μ.toOuterMeasure := by
simp_rw [restrict, restrictₗ, liftLinear, LinearMap.coe_mk, AddHom.coe_mk,
toMeasure_toOuterMeasure, OuterMeasure.restrict_trim h, μ.trimmed]
#align measure_theory.measure.restrict_to_outer_measure_eq_to_outer_measure_restrict MeasureTheory.Measure.restrict_toOuterMeasure_eq_toOuterMeasure_restrict
theorem restrict_apply₀ (ht : NullMeasurableSet t (μ.restrict s)) : μ.restrict s t = μ (t ∩ s) := by
rw [← restrictₗ_apply, restrictₗ, liftLinear_apply₀ _ ht, OuterMeasure.restrict_apply,
coe_toOuterMeasure]
#align measure_theory.measure.restrict_apply₀ MeasureTheory.Measure.restrict_apply₀
@[simp]
theorem restrict_apply (ht : MeasurableSet t) : μ.restrict s t = μ (t ∩ s) :=
restrict_apply₀ ht.nullMeasurableSet
#align measure_theory.measure.restrict_apply MeasureTheory.Measure.restrict_apply
theorem restrict_mono' {_m0 : MeasurableSpace α} ⦃s s' : Set α⦄ ⦃μ ν : Measure α⦄ (hs : s ≤ᵐ[μ] s')
(hμν : μ ≤ ν) : μ.restrict s ≤ ν.restrict s' :=
Measure.le_iff.2 fun t ht => calc
μ.restrict s t = μ (t ∩ s) := restrict_apply ht
_ ≤ μ (t ∩ s') := (measure_mono_ae <| hs.mono fun _x hx ⟨hxt, hxs⟩ => ⟨hxt, hx hxs⟩)
_ ≤ ν (t ∩ s') := le_iff'.1 hμν (t ∩ s')
_ = ν.restrict s' t := (restrict_apply ht).symm
#align measure_theory.measure.restrict_mono' MeasureTheory.Measure.restrict_mono'
@[mono]
theorem restrict_mono {_m0 : MeasurableSpace α} ⦃s s' : Set α⦄ (hs : s ⊆ s') ⦃μ ν : Measure α⦄
(hμν : μ ≤ ν) : μ.restrict s ≤ ν.restrict s' :=
restrict_mono' (ae_of_all _ hs) hμν
#align measure_theory.measure.restrict_mono MeasureTheory.Measure.restrict_mono
theorem restrict_mono_ae (h : s ≤ᵐ[μ] t) : μ.restrict s ≤ μ.restrict t :=
restrict_mono' h (le_refl μ)
#align measure_theory.measure.restrict_mono_ae MeasureTheory.Measure.restrict_mono_ae
theorem restrict_congr_set (h : s =ᵐ[μ] t) : μ.restrict s = μ.restrict t :=
le_antisymm (restrict_mono_ae h.le) (restrict_mono_ae h.symm.le)
#align measure_theory.measure.restrict_congr_set MeasureTheory.Measure.restrict_congr_set
@[simp]
theorem restrict_apply' (hs : MeasurableSet s) : μ.restrict s t = μ (t ∩ s) := by
rw [← toOuterMeasure_apply,
Measure.restrict_toOuterMeasure_eq_toOuterMeasure_restrict hs,
OuterMeasure.restrict_apply s t _, toOuterMeasure_apply]
#align measure_theory.measure.restrict_apply' MeasureTheory.Measure.restrict_apply'
theorem restrict_apply₀' (hs : NullMeasurableSet s μ) : μ.restrict s t = μ (t ∩ s) := by
rw [← restrict_congr_set hs.toMeasurable_ae_eq,
restrict_apply' (measurableSet_toMeasurable _ _),
measure_congr ((ae_eq_refl t).inter hs.toMeasurable_ae_eq)]
#align measure_theory.measure.restrict_apply₀' MeasureTheory.Measure.restrict_apply₀'
theorem restrict_le_self : μ.restrict s ≤ μ :=
Measure.le_iff.2 fun t ht => calc
μ.restrict s t = μ (t ∩ s) := restrict_apply ht
_ ≤ μ t := measure_mono inter_subset_left
#align measure_theory.measure.restrict_le_self MeasureTheory.Measure.restrict_le_self
variable (μ)
theorem restrict_eq_self (h : s ⊆ t) : μ.restrict t s = μ s :=
(le_iff'.1 restrict_le_self s).antisymm <|
calc
μ s ≤ μ (toMeasurable (μ.restrict t) s ∩ t) :=
measure_mono (subset_inter (subset_toMeasurable _ _) h)
_ = μ.restrict t s := by
rw [← restrict_apply (measurableSet_toMeasurable _ _), measure_toMeasurable]
#align measure_theory.measure.restrict_eq_self MeasureTheory.Measure.restrict_eq_self
@[simp]
theorem restrict_apply_self (s : Set α) : (μ.restrict s) s = μ s :=
restrict_eq_self μ Subset.rfl
#align measure_theory.measure.restrict_apply_self MeasureTheory.Measure.restrict_apply_self
variable {μ}
theorem restrict_apply_univ (s : Set α) : μ.restrict s univ = μ s := by
rw [restrict_apply MeasurableSet.univ, Set.univ_inter]
#align measure_theory.measure.restrict_apply_univ MeasureTheory.Measure.restrict_apply_univ
theorem le_restrict_apply (s t : Set α) : μ (t ∩ s) ≤ μ.restrict s t :=
calc
μ (t ∩ s) = μ.restrict s (t ∩ s) := (restrict_eq_self μ inter_subset_right).symm
_ ≤ μ.restrict s t := measure_mono inter_subset_left
#align measure_theory.measure.le_restrict_apply MeasureTheory.Measure.le_restrict_apply
theorem restrict_apply_le (s t : Set α) : μ.restrict s t ≤ μ t :=
Measure.le_iff'.1 restrict_le_self _
theorem restrict_apply_superset (h : s ⊆ t) : μ.restrict s t = μ s :=
((measure_mono (subset_univ _)).trans_eq <| restrict_apply_univ _).antisymm
((restrict_apply_self μ s).symm.trans_le <| measure_mono h)
#align measure_theory.measure.restrict_apply_superset MeasureTheory.Measure.restrict_apply_superset
@[simp]
theorem restrict_add {_m0 : MeasurableSpace α} (μ ν : Measure α) (s : Set α) :
(μ + ν).restrict s = μ.restrict s + ν.restrict s :=
(restrictₗ s).map_add μ ν
#align measure_theory.measure.restrict_add MeasureTheory.Measure.restrict_add
@[simp]
theorem restrict_zero {_m0 : MeasurableSpace α} (s : Set α) : (0 : Measure α).restrict s = 0 :=
(restrictₗ s).map_zero
#align measure_theory.measure.restrict_zero MeasureTheory.Measure.restrict_zero
@[simp]
theorem restrict_smul {_m0 : MeasurableSpace α} (c : ℝ≥0∞) (μ : Measure α) (s : Set α) :
(c • μ).restrict s = c • μ.restrict s :=
(restrictₗ s).map_smul c μ
#align measure_theory.measure.restrict_smul MeasureTheory.Measure.restrict_smul
theorem restrict_restrict₀ (hs : NullMeasurableSet s (μ.restrict t)) :
(μ.restrict t).restrict s = μ.restrict (s ∩ t) :=
ext fun u hu => by
simp only [Set.inter_assoc, restrict_apply hu,
restrict_apply₀ (hu.nullMeasurableSet.inter hs)]
#align measure_theory.measure.restrict_restrict₀ MeasureTheory.Measure.restrict_restrict₀
@[simp]
theorem restrict_restrict (hs : MeasurableSet s) : (μ.restrict t).restrict s = μ.restrict (s ∩ t) :=
restrict_restrict₀ hs.nullMeasurableSet
#align measure_theory.measure.restrict_restrict MeasureTheory.Measure.restrict_restrict
theorem restrict_restrict_of_subset (h : s ⊆ t) : (μ.restrict t).restrict s = μ.restrict s := by
ext1 u hu
rw [restrict_apply hu, restrict_apply hu, restrict_eq_self]
exact inter_subset_right.trans h
#align measure_theory.measure.restrict_restrict_of_subset MeasureTheory.Measure.restrict_restrict_of_subset
theorem restrict_restrict₀' (ht : NullMeasurableSet t μ) :
(μ.restrict t).restrict s = μ.restrict (s ∩ t) :=
ext fun u hu => by simp only [restrict_apply hu, restrict_apply₀' ht, inter_assoc]
#align measure_theory.measure.restrict_restrict₀' MeasureTheory.Measure.restrict_restrict₀'
theorem restrict_restrict' (ht : MeasurableSet t) :
(μ.restrict t).restrict s = μ.restrict (s ∩ t) :=
restrict_restrict₀' ht.nullMeasurableSet
#align measure_theory.measure.restrict_restrict' MeasureTheory.Measure.restrict_restrict'
theorem restrict_comm (hs : MeasurableSet s) :
(μ.restrict t).restrict s = (μ.restrict s).restrict t := by
rw [restrict_restrict hs, restrict_restrict' hs, inter_comm]
#align measure_theory.measure.restrict_comm MeasureTheory.Measure.restrict_comm
theorem restrict_apply_eq_zero (ht : MeasurableSet t) : μ.restrict s t = 0 ↔ μ (t ∩ s) = 0 := by
rw [restrict_apply ht]
#align measure_theory.measure.restrict_apply_eq_zero MeasureTheory.Measure.restrict_apply_eq_zero
theorem measure_inter_eq_zero_of_restrict (h : μ.restrict s t = 0) : μ (t ∩ s) = 0 :=
nonpos_iff_eq_zero.1 (h ▸ le_restrict_apply _ _)
#align measure_theory.measure.measure_inter_eq_zero_of_restrict MeasureTheory.Measure.measure_inter_eq_zero_of_restrict
theorem restrict_apply_eq_zero' (hs : MeasurableSet s) : μ.restrict s t = 0 ↔ μ (t ∩ s) = 0 := by
rw [restrict_apply' hs]
#align measure_theory.measure.restrict_apply_eq_zero' MeasureTheory.Measure.restrict_apply_eq_zero'
@[simp]
theorem restrict_eq_zero : μ.restrict s = 0 ↔ μ s = 0 := by
rw [← measure_univ_eq_zero, restrict_apply_univ]
#align measure_theory.measure.restrict_eq_zero MeasureTheory.Measure.restrict_eq_zero
instance restrict.neZero [NeZero (μ s)] : NeZero (μ.restrict s) :=
⟨mt restrict_eq_zero.mp <| NeZero.ne _⟩
theorem restrict_zero_set {s : Set α} (h : μ s = 0) : μ.restrict s = 0 :=
restrict_eq_zero.2 h
#align measure_theory.measure.restrict_zero_set MeasureTheory.Measure.restrict_zero_set
@[simp]
theorem restrict_empty : μ.restrict ∅ = 0 :=
restrict_zero_set measure_empty
#align measure_theory.measure.restrict_empty MeasureTheory.Measure.restrict_empty
@[simp]
theorem restrict_univ : μ.restrict univ = μ :=
ext fun s hs => by simp [hs]
#align measure_theory.measure.restrict_univ MeasureTheory.Measure.restrict_univ
theorem restrict_inter_add_diff₀ (s : Set α) (ht : NullMeasurableSet t μ) :
μ.restrict (s ∩ t) + μ.restrict (s \ t) = μ.restrict s := by
ext1 u hu
simp only [add_apply, restrict_apply hu, ← inter_assoc, diff_eq]
exact measure_inter_add_diff₀ (u ∩ s) ht
#align measure_theory.measure.restrict_inter_add_diff₀ MeasureTheory.Measure.restrict_inter_add_diff₀
theorem restrict_inter_add_diff (s : Set α) (ht : MeasurableSet t) :
μ.restrict (s ∩ t) + μ.restrict (s \ t) = μ.restrict s :=
restrict_inter_add_diff₀ s ht.nullMeasurableSet
#align measure_theory.measure.restrict_inter_add_diff MeasureTheory.Measure.restrict_inter_add_diff
theorem restrict_union_add_inter₀ (s : Set α) (ht : NullMeasurableSet t μ) :
μ.restrict (s ∪ t) + μ.restrict (s ∩ t) = μ.restrict s + μ.restrict t := by
rw [← restrict_inter_add_diff₀ (s ∪ t) ht, union_inter_cancel_right, union_diff_right, ←
restrict_inter_add_diff₀ s ht, add_comm, ← add_assoc, add_right_comm]
#align measure_theory.measure.restrict_union_add_inter₀ MeasureTheory.Measure.restrict_union_add_inter₀
theorem restrict_union_add_inter (s : Set α) (ht : MeasurableSet t) :
μ.restrict (s ∪ t) + μ.restrict (s ∩ t) = μ.restrict s + μ.restrict t :=
restrict_union_add_inter₀ s ht.nullMeasurableSet
#align measure_theory.measure.restrict_union_add_inter MeasureTheory.Measure.restrict_union_add_inter
theorem restrict_union_add_inter' (hs : MeasurableSet s) (t : Set α) :
μ.restrict (s ∪ t) + μ.restrict (s ∩ t) = μ.restrict s + μ.restrict t := by
simpa only [union_comm, inter_comm, add_comm] using restrict_union_add_inter t hs
#align measure_theory.measure.restrict_union_add_inter' MeasureTheory.Measure.restrict_union_add_inter'
theorem restrict_union₀ (h : AEDisjoint μ s t) (ht : NullMeasurableSet t μ) :
μ.restrict (s ∪ t) = μ.restrict s + μ.restrict t := by
simp [← restrict_union_add_inter₀ s ht, restrict_zero_set h]
#align measure_theory.measure.restrict_union₀ MeasureTheory.Measure.restrict_union₀
theorem restrict_union (h : Disjoint s t) (ht : MeasurableSet t) :
μ.restrict (s ∪ t) = μ.restrict s + μ.restrict t :=
restrict_union₀ h.aedisjoint ht.nullMeasurableSet
#align measure_theory.measure.restrict_union MeasureTheory.Measure.restrict_union
theorem restrict_union' (h : Disjoint s t) (hs : MeasurableSet s) :
μ.restrict (s ∪ t) = μ.restrict s + μ.restrict t := by
rw [union_comm, restrict_union h.symm hs, add_comm]
#align measure_theory.measure.restrict_union' MeasureTheory.Measure.restrict_union'
@[simp]
theorem restrict_add_restrict_compl (hs : MeasurableSet s) :
μ.restrict s + μ.restrict sᶜ = μ := by
rw [← restrict_union (@disjoint_compl_right (Set α) _ _) hs.compl, union_compl_self,
restrict_univ]
#align measure_theory.measure.restrict_add_restrict_compl MeasureTheory.Measure.restrict_add_restrict_compl
@[simp]
theorem restrict_compl_add_restrict (hs : MeasurableSet s) : μ.restrict sᶜ + μ.restrict s = μ := by
rw [add_comm, restrict_add_restrict_compl hs]
#align measure_theory.measure.restrict_compl_add_restrict MeasureTheory.Measure.restrict_compl_add_restrict
theorem restrict_union_le (s s' : Set α) : μ.restrict (s ∪ s') ≤ μ.restrict s + μ.restrict s' :=
le_iff.2 fun t ht ↦ by
simpa [ht, inter_union_distrib_left] using measure_union_le (t ∩ s) (t ∩ s')
#align measure_theory.measure.restrict_union_le MeasureTheory.Measure.restrict_union_le
theorem restrict_iUnion_apply_ae [Countable ι] {s : ι → Set α} (hd : Pairwise (AEDisjoint μ on s))
(hm : ∀ i, NullMeasurableSet (s i) μ) {t : Set α} (ht : MeasurableSet t) :
μ.restrict (⋃ i, s i) t = ∑' i, μ.restrict (s i) t := by
simp only [restrict_apply, ht, inter_iUnion]
exact
measure_iUnion₀ (hd.mono fun i j h => h.mono inter_subset_right inter_subset_right)
fun i => ht.nullMeasurableSet.inter (hm i)
#align measure_theory.measure.restrict_Union_apply_ae MeasureTheory.Measure.restrict_iUnion_apply_ae
theorem restrict_iUnion_apply [Countable ι] {s : ι → Set α} (hd : Pairwise (Disjoint on s))
(hm : ∀ i, MeasurableSet (s i)) {t : Set α} (ht : MeasurableSet t) :
μ.restrict (⋃ i, s i) t = ∑' i, μ.restrict (s i) t :=
restrict_iUnion_apply_ae hd.aedisjoint (fun i => (hm i).nullMeasurableSet) ht
#align measure_theory.measure.restrict_Union_apply MeasureTheory.Measure.restrict_iUnion_apply
theorem restrict_iUnion_apply_eq_iSup [Countable ι] {s : ι → Set α} (hd : Directed (· ⊆ ·) s)
{t : Set α} (ht : MeasurableSet t) : μ.restrict (⋃ i, s i) t = ⨆ i, μ.restrict (s i) t := by
simp only [restrict_apply ht, inter_iUnion]
rw [measure_iUnion_eq_iSup]
exacts [hd.mono_comp _ fun s₁ s₂ => inter_subset_inter_right _]
#align measure_theory.measure.restrict_Union_apply_eq_supr MeasureTheory.Measure.restrict_iUnion_apply_eq_iSup
theorem restrict_map {f : α → β} (hf : Measurable f) {s : Set β} (hs : MeasurableSet s) :
(μ.map f).restrict s = (μ.restrict <| f ⁻¹' s).map f :=
ext fun t ht => by simp [*, hf ht]
#align measure_theory.measure.restrict_map MeasureTheory.Measure.restrict_map
theorem restrict_toMeasurable (h : μ s ≠ ∞) : μ.restrict (toMeasurable μ s) = μ.restrict s :=
ext fun t ht => by
rw [restrict_apply ht, restrict_apply ht, inter_comm, measure_toMeasurable_inter ht h,
inter_comm]
#align measure_theory.measure.restrict_to_measurable MeasureTheory.Measure.restrict_toMeasurable
theorem restrict_eq_self_of_ae_mem {_m0 : MeasurableSpace α} ⦃s : Set α⦄ ⦃μ : Measure α⦄
(hs : ∀ᵐ x ∂μ, x ∈ s) : μ.restrict s = μ :=
calc
μ.restrict s = μ.restrict univ := restrict_congr_set (eventuallyEq_univ.mpr hs)
_ = μ := restrict_univ
#align measure_theory.measure.restrict_eq_self_of_ae_mem MeasureTheory.Measure.restrict_eq_self_of_ae_mem
theorem restrict_congr_meas (hs : MeasurableSet s) :
μ.restrict s = ν.restrict s ↔ ∀ t ⊆ s, MeasurableSet t → μ t = ν t :=
⟨fun H t hts ht => by
rw [← inter_eq_self_of_subset_left hts, ← restrict_apply ht, H, restrict_apply ht], fun H =>
ext fun t ht => by
rw [restrict_apply ht, restrict_apply ht, H _ inter_subset_right (ht.inter hs)]⟩
#align measure_theory.measure.restrict_congr_meas MeasureTheory.Measure.restrict_congr_meas
theorem restrict_congr_mono (hs : s ⊆ t) (h : μ.restrict t = ν.restrict t) :
μ.restrict s = ν.restrict s := by
rw [← restrict_restrict_of_subset hs, h, restrict_restrict_of_subset hs]
#align measure_theory.measure.restrict_congr_mono MeasureTheory.Measure.restrict_congr_mono
theorem restrict_union_congr :
μ.restrict (s ∪ t) = ν.restrict (s ∪ t) ↔
μ.restrict s = ν.restrict s ∧ μ.restrict t = ν.restrict t := by
refine
⟨fun h =>
⟨restrict_congr_mono subset_union_left h,
restrict_congr_mono subset_union_right h⟩,
?_⟩
rintro ⟨hs, ht⟩
ext1 u hu
simp only [restrict_apply hu, inter_union_distrib_left]
rcases exists_measurable_superset₂ μ ν (u ∩ s) with ⟨US, hsub, hm, hμ, hν⟩
calc
μ (u ∩ s ∪ u ∩ t) = μ (US ∪ u ∩ t) :=
measure_union_congr_of_subset hsub hμ.le Subset.rfl le_rfl
_ = μ US + μ ((u ∩ t) \ US) := (measure_add_diff hm _).symm
_ = restrict μ s u + restrict μ t (u \ US) := by
simp only [restrict_apply, hu, hu.diff hm, hμ, ← inter_comm t, inter_diff_assoc]
_ = restrict ν s u + restrict ν t (u \ US) := by rw [hs, ht]
_ = ν US + ν ((u ∩ t) \ US) := by
simp only [restrict_apply, hu, hu.diff hm, hν, ← inter_comm t, inter_diff_assoc]
_ = ν (US ∪ u ∩ t) := measure_add_diff hm _
_ = ν (u ∩ s ∪ u ∩ t) := Eq.symm <| measure_union_congr_of_subset hsub hν.le Subset.rfl le_rfl
#align measure_theory.measure.restrict_union_congr MeasureTheory.Measure.restrict_union_congr
theorem restrict_finset_biUnion_congr {s : Finset ι} {t : ι → Set α} :
μ.restrict (⋃ i ∈ s, t i) = ν.restrict (⋃ i ∈ s, t i) ↔
∀ i ∈ s, μ.restrict (t i) = ν.restrict (t i) := by
classical
induction' s using Finset.induction_on with i s _ hs; · simp
simp only [forall_eq_or_imp, iUnion_iUnion_eq_or_left, Finset.mem_insert]
rw [restrict_union_congr, ← hs]
#align measure_theory.measure.restrict_finset_bUnion_congr MeasureTheory.Measure.restrict_finset_biUnion_congr
theorem restrict_iUnion_congr [Countable ι] {s : ι → Set α} :
μ.restrict (⋃ i, s i) = ν.restrict (⋃ i, s i) ↔ ∀ i, μ.restrict (s i) = ν.restrict (s i) := by
refine ⟨fun h i => restrict_congr_mono (subset_iUnion _ _) h, fun h => ?_⟩
ext1 t ht
have D : Directed (· ⊆ ·) fun t : Finset ι => ⋃ i ∈ t, s i :=
Monotone.directed_le fun t₁ t₂ ht => biUnion_subset_biUnion_left ht
rw [iUnion_eq_iUnion_finset]
simp only [restrict_iUnion_apply_eq_iSup D ht, restrict_finset_biUnion_congr.2 fun i _ => h i]
#align measure_theory.measure.restrict_Union_congr MeasureTheory.Measure.restrict_iUnion_congr
theorem restrict_biUnion_congr {s : Set ι} {t : ι → Set α} (hc : s.Countable) :
μ.restrict (⋃ i ∈ s, t i) = ν.restrict (⋃ i ∈ s, t i) ↔
∀ i ∈ s, μ.restrict (t i) = ν.restrict (t i) := by
haveI := hc.toEncodable
simp only [biUnion_eq_iUnion, SetCoe.forall', restrict_iUnion_congr]
#align measure_theory.measure.restrict_bUnion_congr MeasureTheory.Measure.restrict_biUnion_congr
theorem restrict_sUnion_congr {S : Set (Set α)} (hc : S.Countable) :
μ.restrict (⋃₀ S) = ν.restrict (⋃₀ S) ↔ ∀ s ∈ S, μ.restrict s = ν.restrict s := by
rw [sUnion_eq_biUnion, restrict_biUnion_congr hc]
#align measure_theory.measure.restrict_sUnion_congr MeasureTheory.Measure.restrict_sUnion_congr
theorem restrict_sInf_eq_sInf_restrict {m0 : MeasurableSpace α} {m : Set (Measure α)}
(hm : m.Nonempty) (ht : MeasurableSet t) :
(sInf m).restrict t = sInf ((fun μ : Measure α => μ.restrict t) '' m) := by
ext1 s hs
simp_rw [sInf_apply hs, restrict_apply hs, sInf_apply (MeasurableSet.inter hs ht),
Set.image_image, restrict_toOuterMeasure_eq_toOuterMeasure_restrict ht, ←
Set.image_image _ toOuterMeasure, ← OuterMeasure.restrict_sInf_eq_sInf_restrict _ (hm.image _),
OuterMeasure.restrict_apply]
#align measure_theory.measure.restrict_Inf_eq_Inf_restrict MeasureTheory.Measure.restrict_sInf_eq_sInf_restrict
theorem exists_mem_of_measure_ne_zero_of_ae (hs : μ s ≠ 0) {p : α → Prop}
(hp : ∀ᵐ x ∂μ.restrict s, p x) : ∃ x, x ∈ s ∧ p x := by
rw [← μ.restrict_apply_self, ← frequently_ae_mem_iff] at hs
exact (hs.and_eventually hp).exists
#align measure_theory.measure.exists_mem_of_measure_ne_zero_of_ae MeasureTheory.Measure.exists_mem_of_measure_ne_zero_of_ae
theorem ext_iff_of_iUnion_eq_univ [Countable ι] {s : ι → Set α} (hs : ⋃ i, s i = univ) :
μ = ν ↔ ∀ i, μ.restrict (s i) = ν.restrict (s i) := by
rw [← restrict_iUnion_congr, hs, restrict_univ, restrict_univ]
#align measure_theory.measure.ext_iff_of_Union_eq_univ MeasureTheory.Measure.ext_iff_of_iUnion_eq_univ
alias ⟨_, ext_of_iUnion_eq_univ⟩ := ext_iff_of_iUnion_eq_univ
#align measure_theory.measure.ext_of_Union_eq_univ MeasureTheory.Measure.ext_of_iUnion_eq_univ
theorem ext_iff_of_biUnion_eq_univ {S : Set ι} {s : ι → Set α} (hc : S.Countable)
(hs : ⋃ i ∈ S, s i = univ) : μ = ν ↔ ∀ i ∈ S, μ.restrict (s i) = ν.restrict (s i) := by
rw [← restrict_biUnion_congr hc, hs, restrict_univ, restrict_univ]
#align measure_theory.measure.ext_iff_of_bUnion_eq_univ MeasureTheory.Measure.ext_iff_of_biUnion_eq_univ
alias ⟨_, ext_of_biUnion_eq_univ⟩ := ext_iff_of_biUnion_eq_univ
#align measure_theory.measure.ext_of_bUnion_eq_univ MeasureTheory.Measure.ext_of_biUnion_eq_univ
theorem ext_iff_of_sUnion_eq_univ {S : Set (Set α)} (hc : S.Countable) (hs : ⋃₀ S = univ) :
μ = ν ↔ ∀ s ∈ S, μ.restrict s = ν.restrict s :=
ext_iff_of_biUnion_eq_univ hc <| by rwa [← sUnion_eq_biUnion]
#align measure_theory.measure.ext_iff_of_sUnion_eq_univ MeasureTheory.Measure.ext_iff_of_sUnion_eq_univ
alias ⟨_, ext_of_sUnion_eq_univ⟩ := ext_iff_of_sUnion_eq_univ
#align measure_theory.measure.ext_of_sUnion_eq_univ MeasureTheory.Measure.ext_of_sUnion_eq_univ
| Mathlib/MeasureTheory/Measure/Restrict.lean | 465 | 481 | theorem ext_of_generateFrom_of_cover {S T : Set (Set α)} (h_gen : ‹_› = generateFrom S)
(hc : T.Countable) (h_inter : IsPiSystem S) (hU : ⋃₀ T = univ) (htop : ∀ t ∈ T, μ t ≠ ∞)
(ST_eq : ∀ t ∈ T, ∀ s ∈ S, μ (s ∩ t) = ν (s ∩ t)) (T_eq : ∀ t ∈ T, μ t = ν t) : μ = ν := by |
refine ext_of_sUnion_eq_univ hc hU fun t ht => ?_
ext1 u hu
simp only [restrict_apply hu]
refine induction_on_inter h_gen h_inter ?_ (ST_eq t ht) ?_ ?_ hu
· simp only [Set.empty_inter, measure_empty]
· intro v hv hvt
have := T_eq t ht
rw [Set.inter_comm] at hvt ⊢
rwa [← measure_inter_add_diff t hv, ← measure_inter_add_diff t hv, ← hvt,
ENNReal.add_right_inj] at this
exact ne_top_of_le_ne_top (htop t ht) (measure_mono Set.inter_subset_left)
· intro f hfd hfm h_eq
simp only [← restrict_apply (hfm _), ← restrict_apply (MeasurableSet.iUnion hfm)] at h_eq ⊢
simp only [measure_iUnion hfd hfm, h_eq]
|
import Mathlib.Analysis.SpecificLimits.Basic
import Mathlib.Data.Rat.Denumerable
import Mathlib.Data.Set.Pointwise.Interval
import Mathlib.SetTheory.Cardinal.Continuum
#align_import data.real.cardinality from "leanprover-community/mathlib"@"7e7aaccf9b0182576cabdde36cf1b5ad3585b70d"
open Nat Set
open Cardinal
noncomputable section
namespace Cardinal
variable {c : ℝ} {f g : ℕ → Bool} {n : ℕ}
def cantorFunctionAux (c : ℝ) (f : ℕ → Bool) (n : ℕ) : ℝ :=
cond (f n) (c ^ n) 0
#align cardinal.cantor_function_aux Cardinal.cantorFunctionAux
@[simp]
theorem cantorFunctionAux_true (h : f n = true) : cantorFunctionAux c f n = c ^ n := by
simp [cantorFunctionAux, h]
#align cardinal.cantor_function_aux_tt Cardinal.cantorFunctionAux_true
@[simp]
theorem cantorFunctionAux_false (h : f n = false) : cantorFunctionAux c f n = 0 := by
simp [cantorFunctionAux, h]
#align cardinal.cantor_function_aux_ff Cardinal.cantorFunctionAux_false
theorem cantorFunctionAux_nonneg (h : 0 ≤ c) : 0 ≤ cantorFunctionAux c f n := by
cases h' : f n <;> simp [h']
apply pow_nonneg h
#align cardinal.cantor_function_aux_nonneg Cardinal.cantorFunctionAux_nonneg
theorem cantorFunctionAux_eq (h : f n = g n) :
cantorFunctionAux c f n = cantorFunctionAux c g n := by simp [cantorFunctionAux, h]
#align cardinal.cantor_function_aux_eq Cardinal.cantorFunctionAux_eq
theorem cantorFunctionAux_zero (f : ℕ → Bool) : cantorFunctionAux c f 0 = cond (f 0) 1 0 := by
cases h : f 0 <;> simp [h]
#align cardinal.cantor_function_aux_zero Cardinal.cantorFunctionAux_zero
theorem cantorFunctionAux_succ (f : ℕ → Bool) :
(fun n => cantorFunctionAux c f (n + 1)) = fun n =>
c * cantorFunctionAux c (fun n => f (n + 1)) n := by
ext n
cases h : f (n + 1) <;> simp [h, _root_.pow_succ']
#align cardinal.cantor_function_aux_succ Cardinal.cantorFunctionAux_succ
theorem summable_cantor_function (f : ℕ → Bool) (h1 : 0 ≤ c) (h2 : c < 1) :
Summable (cantorFunctionAux c f) := by
apply (summable_geometric_of_lt_one h1 h2).summable_of_eq_zero_or_self
intro n; cases h : f n <;> simp [h]
#align cardinal.summable_cantor_function Cardinal.summable_cantor_function
def cantorFunction (c : ℝ) (f : ℕ → Bool) : ℝ :=
∑' n, cantorFunctionAux c f n
#align cardinal.cantor_function Cardinal.cantorFunction
theorem cantorFunction_le (h1 : 0 ≤ c) (h2 : c < 1) (h3 : ∀ n, f n → g n) :
cantorFunction c f ≤ cantorFunction c g := by
apply tsum_le_tsum _ (summable_cantor_function f h1 h2) (summable_cantor_function g h1 h2)
intro n; cases h : f n
· simp [h, cantorFunctionAux_nonneg h1]
replace h3 : g n = true := h3 n h; simp [h, h3]
#align cardinal.cantor_function_le Cardinal.cantorFunction_le
theorem cantorFunction_succ (f : ℕ → Bool) (h1 : 0 ≤ c) (h2 : c < 1) :
cantorFunction c f = cond (f 0) 1 0 + c * cantorFunction c fun n => f (n + 1) := by
rw [cantorFunction, tsum_eq_zero_add (summable_cantor_function f h1 h2)]
rw [cantorFunctionAux_succ, tsum_mul_left, cantorFunctionAux, _root_.pow_zero]
rfl
#align cardinal.cantor_function_succ Cardinal.cantorFunction_succ
theorem increasing_cantorFunction (h1 : 0 < c) (h2 : c < 1 / 2) {n : ℕ} {f g : ℕ → Bool}
(hn : ∀ k < n, f k = g k) (fn : f n = false) (gn : g n = true) :
cantorFunction c f < cantorFunction c g := by
have h3 : c < 1 := by
apply h2.trans
norm_num
induction' n with n ih generalizing f g
· let f_max : ℕ → Bool := fun n => Nat.rec false (fun _ _ => true) n
have hf_max : ∀ n, f n → f_max n := by
intro n hn
cases n
· rw [fn] at hn
contradiction
apply rfl
let g_min : ℕ → Bool := fun n => Nat.rec true (fun _ _ => false) n
have hg_min : ∀ n, g_min n → g n := by
intro n hn
cases n
· rw [gn]
simp at hn
apply (cantorFunction_le (le_of_lt h1) h3 hf_max).trans_lt
refine lt_of_lt_of_le ?_ (cantorFunction_le (le_of_lt h1) h3 hg_min)
have : c / (1 - c) < 1 := by
rw [div_lt_one, lt_sub_iff_add_lt]
· convert _root_.add_lt_add h2 h2
norm_num
rwa [sub_pos]
convert this
· rw [cantorFunction_succ _ (le_of_lt h1) h3, div_eq_mul_inv, ←
tsum_geometric_of_lt_one (le_of_lt h1) h3]
apply zero_add
· refine (tsum_eq_single 0 ?_).trans ?_
· intro n hn
cases n
· contradiction
rfl
· exact cantorFunctionAux_zero _
rw [cantorFunction_succ f (le_of_lt h1) h3, cantorFunction_succ g (le_of_lt h1) h3]
rw [hn 0 <| zero_lt_succ n]
apply add_lt_add_left
rw [mul_lt_mul_left h1]
exact ih (fun k hk => hn _ <| Nat.succ_lt_succ hk) fn gn
#align cardinal.increasing_cantor_function Cardinal.increasing_cantorFunction
theorem cantorFunction_injective (h1 : 0 < c) (h2 : c < 1 / 2) :
Function.Injective (cantorFunction c) := by
intro f g hfg
classical
by_contra h
revert hfg
have : ∃ n, f n ≠ g n := by
rw [← not_forall]
intro h'
apply h
ext
apply h'
let n := Nat.find this
have hn : ∀ k : ℕ, k < n → f k = g k := by
intro k hk
apply of_not_not
exact Nat.find_min this hk
cases fn : f n
· apply _root_.ne_of_lt
refine increasing_cantorFunction h1 h2 hn fn ?_
apply Bool.eq_true_of_not_eq_false
rw [← fn]
apply Ne.symm
exact Nat.find_spec this
· apply _root_.ne_of_gt
refine increasing_cantorFunction h1 h2 (fun k hk => (hn k hk).symm) ?_ fn
apply Bool.eq_false_of_not_eq_true
rw [← fn]
apply Ne.symm
exact Nat.find_spec this
#align cardinal.cantor_function_injective Cardinal.cantorFunction_injective
theorem mk_real : #ℝ = 𝔠 := by
apply le_antisymm
· rw [Real.equivCauchy.cardinal_eq]
apply mk_quotient_le.trans
apply (mk_subtype_le _).trans_eq
rw [← power_def, mk_nat, mkRat, aleph0_power_aleph0]
· convert mk_le_of_injective (cantorFunction_injective _ _)
· rw [← power_def, mk_bool, mk_nat, two_power_aleph0]
· exact 1 / 3
· norm_num
· norm_num
#align cardinal.mk_real Cardinal.mk_real
theorem mk_univ_real : #(Set.univ : Set ℝ) = 𝔠 := by rw [mk_univ, mk_real]
#align cardinal.mk_univ_real Cardinal.mk_univ_real
| Mathlib/Data/Real/Cardinality.lean | 219 | 221 | theorem not_countable_real : ¬(Set.univ : Set ℝ).Countable := by |
rw [← le_aleph0_iff_set_countable, not_le, mk_univ_real]
apply cantor
|
import Mathlib.Algebra.Field.Rat
import Mathlib.Algebra.Group.Commute.Basic
import Mathlib.Algebra.GroupWithZero.Units.Lemmas
import Mathlib.Algebra.Order.Field.Rat
import Mathlib.Data.Int.Cast.Lemmas
import Mathlib.Data.Rat.Lemmas
#align_import data.rat.cast from "leanprover-community/mathlib"@"acebd8d49928f6ed8920e502a6c90674e75bd441"
variable {F ι α β : Type*}
namespace Rat
variable [DivisionRing α] {p q : ℚ}
@[simp, norm_cast]
theorem cast_intCast (n : ℤ) : ((n : ℚ) : α) = n :=
(cast_def _).trans <| show (n / (1 : ℕ) : α) = n by rw [Nat.cast_one, div_one]
#align rat.cast_coe_int Rat.cast_intCast
@[simp, norm_cast]
| Mathlib/Data/Rat/Cast/Defs.lean | 120 | 121 | theorem cast_natCast (n : ℕ) : ((n : ℚ) : α) = n := by |
rw [← Int.cast_natCast, cast_intCast, Int.cast_natCast]
|
import Mathlib.Algebra.Order.Ring.WithTop
import Mathlib.Algebra.Order.Sub.WithTop
import Mathlib.Data.Real.NNReal
import Mathlib.Order.Interval.Set.WithBotTop
#align_import data.real.ennreal from "leanprover-community/mathlib"@"c14c8fcde993801fca8946b0d80131a1a81d1520"
open Function Set NNReal
variable {α : Type*}
def ENNReal := WithTop ℝ≥0
deriving Zero, AddCommMonoidWithOne, SemilatticeSup, DistribLattice, Nontrivial
#align ennreal ENNReal
@[inherit_doc]
scoped[ENNReal] notation "ℝ≥0∞" => ENNReal
scoped[ENNReal] notation "∞" => (⊤ : ENNReal)
namespace ENNReal
instance : OrderBot ℝ≥0∞ := inferInstanceAs (OrderBot (WithTop ℝ≥0))
instance : BoundedOrder ℝ≥0∞ := inferInstanceAs (BoundedOrder (WithTop ℝ≥0))
instance : CharZero ℝ≥0∞ := inferInstanceAs (CharZero (WithTop ℝ≥0))
noncomputable instance : CanonicallyOrderedCommSemiring ℝ≥0∞ :=
inferInstanceAs (CanonicallyOrderedCommSemiring (WithTop ℝ≥0))
noncomputable instance : CompleteLinearOrder ℝ≥0∞ :=
inferInstanceAs (CompleteLinearOrder (WithTop ℝ≥0))
instance : DenselyOrdered ℝ≥0∞ := inferInstanceAs (DenselyOrdered (WithTop ℝ≥0))
noncomputable instance : CanonicallyLinearOrderedAddCommMonoid ℝ≥0∞ :=
inferInstanceAs (CanonicallyLinearOrderedAddCommMonoid (WithTop ℝ≥0))
noncomputable instance instSub : Sub ℝ≥0∞ := inferInstanceAs (Sub (WithTop ℝ≥0))
noncomputable instance : OrderedSub ℝ≥0∞ := inferInstanceAs (OrderedSub (WithTop ℝ≥0))
noncomputable instance : LinearOrderedAddCommMonoidWithTop ℝ≥0∞ :=
inferInstanceAs (LinearOrderedAddCommMonoidWithTop (WithTop ℝ≥0))
-- Porting note: rfc: redefine using pattern matching?
noncomputable instance : Inv ℝ≥0∞ := ⟨fun a => sInf { b | 1 ≤ a * b }⟩
noncomputable instance : DivInvMonoid ℝ≥0∞ where
variable {a b c d : ℝ≥0∞} {r p q : ℝ≥0}
-- Porting note: are these 2 instances still required in Lean 4?
instance covariantClass_mul_le : CovariantClass ℝ≥0∞ ℝ≥0∞ (· * ·) (· ≤ ·) := inferInstance
#align ennreal.covariant_class_mul_le ENNReal.covariantClass_mul_le
instance covariantClass_add_le : CovariantClass ℝ≥0∞ ℝ≥0∞ (· + ·) (· ≤ ·) := inferInstance
#align ennreal.covariant_class_add_le ENNReal.covariantClass_add_le
-- Porting note (#11215): TODO: add a `WithTop` instance and use it here
noncomputable instance : LinearOrderedCommMonoidWithZero ℝ≥0∞ :=
{ inferInstanceAs (LinearOrderedAddCommMonoidWithTop ℝ≥0∞),
inferInstanceAs (CommSemiring ℝ≥0∞) with
mul_le_mul_left := fun _ _ => mul_le_mul_left'
zero_le_one := zero_le 1 }
noncomputable instance : Unique (AddUnits ℝ≥0∞) where
default := 0
uniq a := AddUnits.ext <| le_zero_iff.1 <| by rw [← a.add_neg]; exact le_self_add
instance : Inhabited ℝ≥0∞ := ⟨0⟩
@[coe, match_pattern] def ofNNReal : ℝ≥0 → ℝ≥0∞ := WithTop.some
instance : Coe ℝ≥0 ℝ≥0∞ := ⟨ofNNReal⟩
@[elab_as_elim, induction_eliminator, cases_eliminator]
def recTopCoe {C : ℝ≥0∞ → Sort*} (top : C ∞) (coe : ∀ x : ℝ≥0, C x) (x : ℝ≥0∞) : C x :=
WithTop.recTopCoe top coe x
instance canLift : CanLift ℝ≥0∞ ℝ≥0 ofNNReal (· ≠ ∞) := WithTop.canLift
#align ennreal.can_lift ENNReal.canLift
@[simp] theorem none_eq_top : (none : ℝ≥0∞) = ∞ := rfl
#align ennreal.none_eq_top ENNReal.none_eq_top
@[simp] theorem some_eq_coe (a : ℝ≥0) : (Option.some a : ℝ≥0∞) = (↑a : ℝ≥0∞) := rfl
#align ennreal.some_eq_coe ENNReal.some_eq_coe
@[simp] theorem some_eq_coe' (a : ℝ≥0) : (WithTop.some a : ℝ≥0∞) = (↑a : ℝ≥0∞) := rfl
lemma coe_injective : Injective ((↑) : ℝ≥0 → ℝ≥0∞) := WithTop.coe_injective
@[simp, norm_cast] lemma coe_inj : (p : ℝ≥0∞) = q ↔ p = q := coe_injective.eq_iff
#align ennreal.coe_eq_coe ENNReal.coe_inj
lemma coe_ne_coe : (p : ℝ≥0∞) ≠ q ↔ p ≠ q := coe_inj.not
theorem range_coe' : range ofNNReal = Iio ∞ := WithTop.range_coe
theorem range_coe : range ofNNReal = {∞}ᶜ := (isCompl_range_some_none ℝ≥0).symm.compl_eq.symm
protected def toNNReal : ℝ≥0∞ → ℝ≥0 := WithTop.untop' 0
#align ennreal.to_nnreal ENNReal.toNNReal
protected def toReal (a : ℝ≥0∞) : Real := a.toNNReal
#align ennreal.to_real ENNReal.toReal
protected noncomputable def ofReal (r : Real) : ℝ≥0∞ := r.toNNReal
#align ennreal.of_real ENNReal.ofReal
@[simp, norm_cast]
theorem toNNReal_coe : (r : ℝ≥0∞).toNNReal = r := rfl
#align ennreal.to_nnreal_coe ENNReal.toNNReal_coe
@[simp]
theorem coe_toNNReal : ∀ {a : ℝ≥0∞}, a ≠ ∞ → ↑a.toNNReal = a
| ofNNReal _, _ => rfl
| ⊤, h => (h rfl).elim
#align ennreal.coe_to_nnreal ENNReal.coe_toNNReal
@[simp]
theorem ofReal_toReal {a : ℝ≥0∞} (h : a ≠ ∞) : ENNReal.ofReal a.toReal = a := by
simp [ENNReal.toReal, ENNReal.ofReal, h]
#align ennreal.of_real_to_real ENNReal.ofReal_toReal
@[simp]
theorem toReal_ofReal {r : ℝ} (h : 0 ≤ r) : (ENNReal.ofReal r).toReal = r :=
max_eq_left h
#align ennreal.to_real_of_real ENNReal.toReal_ofReal
theorem toReal_ofReal' {r : ℝ} : (ENNReal.ofReal r).toReal = max r 0 := rfl
#align ennreal.to_real_of_real' ENNReal.toReal_ofReal'
theorem coe_toNNReal_le_self : ∀ {a : ℝ≥0∞}, ↑a.toNNReal ≤ a
| ofNNReal r => by rw [toNNReal_coe]
| ⊤ => le_top
#align ennreal.coe_to_nnreal_le_self ENNReal.coe_toNNReal_le_self
theorem coe_nnreal_eq (r : ℝ≥0) : (r : ℝ≥0∞) = ENNReal.ofReal r := by
rw [ENNReal.ofReal, Real.toNNReal_coe]
#align ennreal.coe_nnreal_eq ENNReal.coe_nnreal_eq
theorem ofReal_eq_coe_nnreal {x : ℝ} (h : 0 ≤ x) :
ENNReal.ofReal x = ofNNReal ⟨x, h⟩ :=
(coe_nnreal_eq ⟨x, h⟩).symm
#align ennreal.of_real_eq_coe_nnreal ENNReal.ofReal_eq_coe_nnreal
@[simp] theorem ofReal_coe_nnreal : ENNReal.ofReal p = p := (coe_nnreal_eq p).symm
#align ennreal.of_real_coe_nnreal ENNReal.ofReal_coe_nnreal
@[simp, norm_cast] theorem coe_zero : ↑(0 : ℝ≥0) = (0 : ℝ≥0∞) := rfl
#align ennreal.coe_zero ENNReal.coe_zero
@[simp, norm_cast] theorem coe_one : ↑(1 : ℝ≥0) = (1 : ℝ≥0∞) := rfl
#align ennreal.coe_one ENNReal.coe_one
@[simp] theorem toReal_nonneg {a : ℝ≥0∞} : 0 ≤ a.toReal := a.toNNReal.2
#align ennreal.to_real_nonneg ENNReal.toReal_nonneg
@[simp] theorem top_toNNReal : ∞.toNNReal = 0 := rfl
#align ennreal.top_to_nnreal ENNReal.top_toNNReal
@[simp] theorem top_toReal : ∞.toReal = 0 := rfl
#align ennreal.top_to_real ENNReal.top_toReal
@[simp] theorem one_toReal : (1 : ℝ≥0∞).toReal = 1 := rfl
#align ennreal.one_to_real ENNReal.one_toReal
@[simp] theorem one_toNNReal : (1 : ℝ≥0∞).toNNReal = 1 := rfl
#align ennreal.one_to_nnreal ENNReal.one_toNNReal
@[simp] theorem coe_toReal (r : ℝ≥0) : (r : ℝ≥0∞).toReal = r := rfl
#align ennreal.coe_to_real ENNReal.coe_toReal
@[simp] theorem zero_toNNReal : (0 : ℝ≥0∞).toNNReal = 0 := rfl
#align ennreal.zero_to_nnreal ENNReal.zero_toNNReal
@[simp] theorem zero_toReal : (0 : ℝ≥0∞).toReal = 0 := rfl
#align ennreal.zero_to_real ENNReal.zero_toReal
@[simp] theorem ofReal_zero : ENNReal.ofReal (0 : ℝ) = 0 := by simp [ENNReal.ofReal]
#align ennreal.of_real_zero ENNReal.ofReal_zero
@[simp] theorem ofReal_one : ENNReal.ofReal (1 : ℝ) = (1 : ℝ≥0∞) := by simp [ENNReal.ofReal]
#align ennreal.of_real_one ENNReal.ofReal_one
theorem ofReal_toReal_le {a : ℝ≥0∞} : ENNReal.ofReal a.toReal ≤ a :=
if ha : a = ∞ then ha.symm ▸ le_top else le_of_eq (ofReal_toReal ha)
#align ennreal.of_real_to_real_le ENNReal.ofReal_toReal_le
theorem forall_ennreal {p : ℝ≥0∞ → Prop} : (∀ a, p a) ↔ (∀ r : ℝ≥0, p r) ∧ p ∞ :=
Option.forall.trans and_comm
#align ennreal.forall_ennreal ENNReal.forall_ennreal
theorem forall_ne_top {p : ℝ≥0∞ → Prop} : (∀ a, a ≠ ∞ → p a) ↔ ∀ r : ℝ≥0, p r :=
Option.ball_ne_none
#align ennreal.forall_ne_top ENNReal.forall_ne_top
theorem exists_ne_top {p : ℝ≥0∞ → Prop} : (∃ a ≠ ∞, p a) ↔ ∃ r : ℝ≥0, p r :=
Option.exists_ne_none
#align ennreal.exists_ne_top ENNReal.exists_ne_top
theorem toNNReal_eq_zero_iff (x : ℝ≥0∞) : x.toNNReal = 0 ↔ x = 0 ∨ x = ∞ :=
WithTop.untop'_eq_self_iff
#align ennreal.to_nnreal_eq_zero_iff ENNReal.toNNReal_eq_zero_iff
theorem toReal_eq_zero_iff (x : ℝ≥0∞) : x.toReal = 0 ↔ x = 0 ∨ x = ∞ := by
simp [ENNReal.toReal, toNNReal_eq_zero_iff]
#align ennreal.to_real_eq_zero_iff ENNReal.toReal_eq_zero_iff
theorem toNNReal_ne_zero : a.toNNReal ≠ 0 ↔ a ≠ 0 ∧ a ≠ ∞ :=
a.toNNReal_eq_zero_iff.not.trans not_or
#align ennreal.to_nnreal_ne_zero ENNReal.toNNReal_ne_zero
theorem toReal_ne_zero : a.toReal ≠ 0 ↔ a ≠ 0 ∧ a ≠ ∞ :=
a.toReal_eq_zero_iff.not.trans not_or
#align ennreal.to_real_ne_zero ENNReal.toReal_ne_zero
theorem toNNReal_eq_one_iff (x : ℝ≥0∞) : x.toNNReal = 1 ↔ x = 1 :=
WithTop.untop'_eq_iff.trans <| by simp
#align ennreal.to_nnreal_eq_one_iff ENNReal.toNNReal_eq_one_iff
theorem toReal_eq_one_iff (x : ℝ≥0∞) : x.toReal = 1 ↔ x = 1 := by
rw [ENNReal.toReal, NNReal.coe_eq_one, ENNReal.toNNReal_eq_one_iff]
#align ennreal.to_real_eq_one_iff ENNReal.toReal_eq_one_iff
theorem toNNReal_ne_one : a.toNNReal ≠ 1 ↔ a ≠ 1 :=
a.toNNReal_eq_one_iff.not
#align ennreal.to_nnreal_ne_one ENNReal.toNNReal_ne_one
theorem toReal_ne_one : a.toReal ≠ 1 ↔ a ≠ 1 :=
a.toReal_eq_one_iff.not
#align ennreal.to_real_ne_one ENNReal.toReal_ne_one
@[simp] theorem coe_ne_top : (r : ℝ≥0∞) ≠ ∞ := WithTop.coe_ne_top
#align ennreal.coe_ne_top ENNReal.coe_ne_top
@[simp] theorem top_ne_coe : ∞ ≠ (r : ℝ≥0∞) := WithTop.top_ne_coe
#align ennreal.top_ne_coe ENNReal.top_ne_coe
@[simp] theorem coe_lt_top : (r : ℝ≥0∞) < ∞ := WithTop.coe_lt_top r
#align ennreal.coe_lt_top ENNReal.coe_lt_top
@[simp] theorem ofReal_ne_top {r : ℝ} : ENNReal.ofReal r ≠ ∞ := coe_ne_top
#align ennreal.of_real_ne_top ENNReal.ofReal_ne_top
@[simp] theorem ofReal_lt_top {r : ℝ} : ENNReal.ofReal r < ∞ := coe_lt_top
#align ennreal.of_real_lt_top ENNReal.ofReal_lt_top
@[simp] theorem top_ne_ofReal {r : ℝ} : ∞ ≠ ENNReal.ofReal r := top_ne_coe
#align ennreal.top_ne_of_real ENNReal.top_ne_ofReal
@[simp]
theorem ofReal_toReal_eq_iff : ENNReal.ofReal a.toReal = a ↔ a ≠ ⊤ :=
⟨fun h => by
rw [← h]
exact ofReal_ne_top, ofReal_toReal⟩
#align ennreal.of_real_to_real_eq_iff ENNReal.ofReal_toReal_eq_iff
@[simp]
theorem toReal_ofReal_eq_iff {a : ℝ} : (ENNReal.ofReal a).toReal = a ↔ 0 ≤ a :=
⟨fun h => by
rw [← h]
exact toReal_nonneg, toReal_ofReal⟩
#align ennreal.to_real_of_real_eq_iff ENNReal.toReal_ofReal_eq_iff
@[simp] theorem zero_ne_top : 0 ≠ ∞ := coe_ne_top
#align ennreal.zero_ne_top ENNReal.zero_ne_top
@[simp] theorem top_ne_zero : ∞ ≠ 0 := top_ne_coe
#align ennreal.top_ne_zero ENNReal.top_ne_zero
@[simp] theorem one_ne_top : 1 ≠ ∞ := coe_ne_top
#align ennreal.one_ne_top ENNReal.one_ne_top
@[simp] theorem top_ne_one : ∞ ≠ 1 := top_ne_coe
#align ennreal.top_ne_one ENNReal.top_ne_one
@[simp] theorem zero_lt_top : 0 < ∞ := coe_lt_top
@[simp, norm_cast] theorem coe_le_coe : (↑r : ℝ≥0∞) ≤ ↑q ↔ r ≤ q := WithTop.coe_le_coe
#align ennreal.coe_le_coe ENNReal.coe_le_coe
@[simp, norm_cast] theorem coe_lt_coe : (↑r : ℝ≥0∞) < ↑q ↔ r < q := WithTop.coe_lt_coe
#align ennreal.coe_lt_coe ENNReal.coe_lt_coe
-- Needed until `@[gcongr]` accepts iff statements
alias ⟨_, coe_le_coe_of_le⟩ := coe_le_coe
attribute [gcongr] ENNReal.coe_le_coe_of_le
-- Needed until `@[gcongr]` accepts iff statements
alias ⟨_, coe_lt_coe_of_lt⟩ := coe_lt_coe
attribute [gcongr] ENNReal.coe_lt_coe_of_lt
theorem coe_mono : Monotone ofNNReal := fun _ _ => coe_le_coe.2
#align ennreal.coe_mono ENNReal.coe_mono
theorem coe_strictMono : StrictMono ofNNReal := fun _ _ => coe_lt_coe.2
@[simp, norm_cast] theorem coe_eq_zero : (↑r : ℝ≥0∞) = 0 ↔ r = 0 := coe_inj
#align ennreal.coe_eq_zero ENNReal.coe_eq_zero
@[simp, norm_cast] theorem zero_eq_coe : 0 = (↑r : ℝ≥0∞) ↔ 0 = r := coe_inj
#align ennreal.zero_eq_coe ENNReal.zero_eq_coe
@[simp, norm_cast] theorem coe_eq_one : (↑r : ℝ≥0∞) = 1 ↔ r = 1 := coe_inj
#align ennreal.coe_eq_one ENNReal.coe_eq_one
@[simp, norm_cast] theorem one_eq_coe : 1 = (↑r : ℝ≥0∞) ↔ 1 = r := coe_inj
#align ennreal.one_eq_coe ENNReal.one_eq_coe
@[simp, norm_cast] theorem coe_pos : 0 < (r : ℝ≥0∞) ↔ 0 < r := coe_lt_coe
#align ennreal.coe_pos ENNReal.coe_pos
theorem coe_ne_zero : (r : ℝ≥0∞) ≠ 0 ↔ r ≠ 0 := coe_eq_zero.not
#align ennreal.coe_ne_zero ENNReal.coe_ne_zero
lemma coe_ne_one : (r : ℝ≥0∞) ≠ 1 ↔ r ≠ 1 := coe_eq_one.not
@[simp, norm_cast] lemma coe_add (x y : ℝ≥0) : (↑(x + y) : ℝ≥0∞) = x + y := rfl
#align ennreal.coe_add ENNReal.coe_add
@[simp, norm_cast] lemma coe_mul (x y : ℝ≥0) : (↑(x * y) : ℝ≥0∞) = x * y := rfl
#align ennreal.coe_mul ENNReal.coe_mul
@[norm_cast] lemma coe_nsmul (n : ℕ) (x : ℝ≥0) : (↑(n • x) : ℝ≥0∞) = n • x := rfl
@[simp, norm_cast] lemma coe_pow (x : ℝ≥0) (n : ℕ) : (↑(x ^ n) : ℝ≥0∞) = x ^ n := rfl
#noalign ennreal.coe_bit0
#noalign ennreal.coe_bit1
-- See note [no_index around OfNat.ofNat]
@[simp, norm_cast] -- Porting note (#10756): new theorem
theorem coe_ofNat (n : ℕ) [n.AtLeastTwo] :
((no_index (OfNat.ofNat n) : ℝ≥0) : ℝ≥0∞) = OfNat.ofNat n := rfl
-- Porting note (#11215): TODO: add lemmas about `OfNat.ofNat` and `<`/`≤`
theorem coe_two : ((2 : ℝ≥0) : ℝ≥0∞) = 2 := rfl
#align ennreal.coe_two ENNReal.coe_two
theorem toNNReal_eq_toNNReal_iff (x y : ℝ≥0∞) :
x.toNNReal = y.toNNReal ↔ x = y ∨ x = 0 ∧ y = ⊤ ∨ x = ⊤ ∧ y = 0 :=
WithTop.untop'_eq_untop'_iff
#align ennreal.to_nnreal_eq_to_nnreal_iff ENNReal.toNNReal_eq_toNNReal_iff
theorem toReal_eq_toReal_iff (x y : ℝ≥0∞) :
x.toReal = y.toReal ↔ x = y ∨ x = 0 ∧ y = ⊤ ∨ x = ⊤ ∧ y = 0 := by
simp only [ENNReal.toReal, NNReal.coe_inj, toNNReal_eq_toNNReal_iff]
#align ennreal.to_real_eq_to_real_iff ENNReal.toReal_eq_toReal_iff
theorem toNNReal_eq_toNNReal_iff' {x y : ℝ≥0∞} (hx : x ≠ ⊤) (hy : y ≠ ⊤) :
x.toNNReal = y.toNNReal ↔ x = y := by
simp only [ENNReal.toNNReal_eq_toNNReal_iff x y, hx, hy, and_false, false_and, or_false]
#align ennreal.to_nnreal_eq_to_nnreal_iff' ENNReal.toNNReal_eq_toNNReal_iff'
theorem toReal_eq_toReal_iff' {x y : ℝ≥0∞} (hx : x ≠ ⊤) (hy : y ≠ ⊤) :
x.toReal = y.toReal ↔ x = y := by
simp only [ENNReal.toReal, NNReal.coe_inj, toNNReal_eq_toNNReal_iff' hx hy]
#align ennreal.to_real_eq_to_real_iff' ENNReal.toReal_eq_toReal_iff'
theorem one_lt_two : (1 : ℝ≥0∞) < 2 := Nat.one_lt_ofNat
#align ennreal.one_lt_two ENNReal.one_lt_two
@[simp] theorem two_ne_top : (2 : ℝ≥0∞) ≠ ∞ := coe_ne_top
#align ennreal.two_ne_top ENNReal.two_ne_top
@[simp] theorem two_lt_top : (2 : ℝ≥0∞) < ∞ := coe_lt_top
instance _root_.fact_one_le_one_ennreal : Fact ((1 : ℝ≥0∞) ≤ 1) :=
⟨le_rfl⟩
#align fact_one_le_one_ennreal fact_one_le_one_ennreal
instance _root_.fact_one_le_two_ennreal : Fact ((1 : ℝ≥0∞) ≤ 2) :=
⟨one_le_two⟩
#align fact_one_le_two_ennreal fact_one_le_two_ennreal
instance _root_.fact_one_le_top_ennreal : Fact ((1 : ℝ≥0∞) ≤ ∞) :=
⟨le_top⟩
#align fact_one_le_top_ennreal fact_one_le_top_ennreal
def neTopEquivNNReal : { a | a ≠ ∞ } ≃ ℝ≥0 where
toFun x := ENNReal.toNNReal x
invFun x := ⟨x, coe_ne_top⟩
left_inv := fun x => Subtype.eq <| coe_toNNReal x.2
right_inv _ := toNNReal_coe
#align ennreal.ne_top_equiv_nnreal ENNReal.neTopEquivNNReal
theorem cinfi_ne_top [InfSet α] (f : ℝ≥0∞ → α) : ⨅ x : { x // x ≠ ∞ }, f x = ⨅ x : ℝ≥0, f x :=
Eq.symm <| neTopEquivNNReal.symm.surjective.iInf_congr _ fun _ => rfl
#align ennreal.cinfi_ne_top ENNReal.cinfi_ne_top
theorem iInf_ne_top [CompleteLattice α] (f : ℝ≥0∞ → α) :
⨅ (x) (_ : x ≠ ∞), f x = ⨅ x : ℝ≥0, f x := by rw [iInf_subtype', cinfi_ne_top]
#align ennreal.infi_ne_top ENNReal.iInf_ne_top
theorem csupr_ne_top [SupSet α] (f : ℝ≥0∞ → α) : ⨆ x : { x // x ≠ ∞ }, f x = ⨆ x : ℝ≥0, f x :=
@cinfi_ne_top αᵒᵈ _ _
#align ennreal.csupr_ne_top ENNReal.csupr_ne_top
theorem iSup_ne_top [CompleteLattice α] (f : ℝ≥0∞ → α) :
⨆ (x) (_ : x ≠ ∞), f x = ⨆ x : ℝ≥0, f x :=
@iInf_ne_top αᵒᵈ _ _
#align ennreal.supr_ne_top ENNReal.iSup_ne_top
theorem iInf_ennreal {α : Type*} [CompleteLattice α] {f : ℝ≥0∞ → α} :
⨅ n, f n = (⨅ n : ℝ≥0, f n) ⊓ f ∞ :=
(iInf_option f).trans (inf_comm _ _)
#align ennreal.infi_ennreal ENNReal.iInf_ennreal
theorem iSup_ennreal {α : Type*} [CompleteLattice α] {f : ℝ≥0∞ → α} :
⨆ n, f n = (⨆ n : ℝ≥0, f n) ⊔ f ∞ :=
@iInf_ennreal αᵒᵈ _ _
#align ennreal.supr_ennreal ENNReal.iSup_ennreal
def ofNNRealHom : ℝ≥0 →+* ℝ≥0∞ where
toFun := some
map_one' := coe_one
map_mul' _ _ := coe_mul _ _
map_zero' := coe_zero
map_add' _ _ := coe_add _ _
#align ennreal.of_nnreal_hom ENNReal.ofNNRealHom
@[simp] theorem coe_ofNNRealHom : ⇑ofNNRealHom = some := rfl
#align ennreal.coe_of_nnreal_hom ENNReal.coe_ofNNRealHom
@[simp, norm_cast]
theorem coe_indicator {α} (s : Set α) (f : α → ℝ≥0) (a : α) :
((s.indicator f a : ℝ≥0) : ℝ≥0∞) = s.indicator (fun x => ↑(f x)) a :=
(ofNNRealHom : ℝ≥0 →+ ℝ≥0∞).map_indicator _ _ _
#align ennreal.coe_indicator ENNReal.coe_indicator
section Order
theorem bot_eq_zero : (⊥ : ℝ≥0∞) = 0 := rfl
#align ennreal.bot_eq_zero ENNReal.bot_eq_zero
-- `coe_lt_top` moved up
theorem not_top_le_coe : ¬∞ ≤ ↑r := WithTop.not_top_le_coe r
#align ennreal.not_top_le_coe ENNReal.not_top_le_coe
@[simp, norm_cast]
theorem one_le_coe_iff : (1 : ℝ≥0∞) ≤ ↑r ↔ 1 ≤ r := coe_le_coe
#align ennreal.one_le_coe_iff ENNReal.one_le_coe_iff
@[simp, norm_cast]
theorem coe_le_one_iff : ↑r ≤ (1 : ℝ≥0∞) ↔ r ≤ 1 := coe_le_coe
#align ennreal.coe_le_one_iff ENNReal.coe_le_one_iff
@[simp, norm_cast]
theorem coe_lt_one_iff : (↑p : ℝ≥0∞) < 1 ↔ p < 1 := coe_lt_coe
#align ennreal.coe_lt_one_iff ENNReal.coe_lt_one_iff
@[simp, norm_cast]
theorem one_lt_coe_iff : 1 < (↑p : ℝ≥0∞) ↔ 1 < p := coe_lt_coe
#align ennreal.one_lt_coe_iff ENNReal.one_lt_coe_iff
@[simp, norm_cast]
theorem coe_natCast (n : ℕ) : ((n : ℝ≥0) : ℝ≥0∞) = n := rfl
#align ennreal.coe_nat ENNReal.coe_natCast
@[simp, norm_cast] lemma ofReal_natCast (n : ℕ) : ENNReal.ofReal n = n := by simp [ENNReal.ofReal]
#align ennreal.of_real_coe_nat ENNReal.ofReal_natCast
-- See note [no_index around OfNat.ofNat]
@[simp] theorem ofReal_ofNat (n : ℕ) [n.AtLeastTwo] :
ENNReal.ofReal (no_index (OfNat.ofNat n)) = OfNat.ofNat n :=
ofReal_natCast n
@[simp] theorem natCast_ne_top (n : ℕ) : (n : ℝ≥0∞) ≠ ∞ := WithTop.natCast_ne_top n
#align ennreal.nat_ne_top ENNReal.natCast_ne_top
@[simp] theorem top_ne_natCast (n : ℕ) : ∞ ≠ n := WithTop.top_ne_natCast n
#align ennreal.top_ne_nat ENNReal.top_ne_natCast
@[simp] theorem one_lt_top : 1 < ∞ := coe_lt_top
#align ennreal.one_lt_top ENNReal.one_lt_top
@[simp, norm_cast]
theorem toNNReal_nat (n : ℕ) : (n : ℝ≥0∞).toNNReal = n := by
rw [← ENNReal.coe_natCast n, ENNReal.toNNReal_coe]
#align ennreal.to_nnreal_nat ENNReal.toNNReal_nat
@[simp, norm_cast]
theorem toReal_nat (n : ℕ) : (n : ℝ≥0∞).toReal = n := by
rw [← ENNReal.ofReal_natCast n, ENNReal.toReal_ofReal (Nat.cast_nonneg _)]
#align ennreal.to_real_nat ENNReal.toReal_nat
-- See note [no_index around OfNat.ofNat]
@[simp] theorem toReal_ofNat (n : ℕ) [n.AtLeastTwo] :
ENNReal.toReal (no_index (OfNat.ofNat n)) = OfNat.ofNat n :=
toReal_nat n
theorem le_coe_iff : a ≤ ↑r ↔ ∃ p : ℝ≥0, a = p ∧ p ≤ r := WithTop.le_coe_iff
#align ennreal.le_coe_iff ENNReal.le_coe_iff
theorem coe_le_iff : ↑r ≤ a ↔ ∀ p : ℝ≥0, a = p → r ≤ p := WithTop.coe_le_iff
#align ennreal.coe_le_iff ENNReal.coe_le_iff
theorem lt_iff_exists_coe : a < b ↔ ∃ p : ℝ≥0, a = p ∧ ↑p < b :=
WithTop.lt_iff_exists_coe
#align ennreal.lt_iff_exists_coe ENNReal.lt_iff_exists_coe
theorem toReal_le_coe_of_le_coe {a : ℝ≥0∞} {b : ℝ≥0} (h : a ≤ b) : a.toReal ≤ b := by
lift a to ℝ≥0 using ne_top_of_le_ne_top coe_ne_top h
simpa using h
#align ennreal.to_real_le_coe_of_le_coe ENNReal.toReal_le_coe_of_le_coe
@[simp, norm_cast]
theorem coe_finset_sup {s : Finset α} {f : α → ℝ≥0} : ↑(s.sup f) = s.sup fun x => (f x : ℝ≥0∞) :=
Finset.comp_sup_eq_sup_comp_of_is_total _ coe_mono rfl
#align ennreal.coe_finset_sup ENNReal.coe_finset_sup
@[simp] theorem max_eq_zero_iff : max a b = 0 ↔ a = 0 ∧ b = 0 := max_eq_bot
#align ennreal.max_eq_zero_iff ENNReal.max_eq_zero_iff
theorem max_zero_left : max 0 a = a :=
max_eq_right (zero_le a)
#align ennreal.max_zero_left ENNReal.max_zero_left
theorem max_zero_right : max a 0 = a :=
max_eq_left (zero_le a)
#align ennreal.max_zero_right ENNReal.max_zero_right
@[simp] theorem sup_eq_max : a ⊔ b = max a b := rfl
#align ennreal.sup_eq_max ENNReal.sup_eq_max
-- Porting note: moved `le_of_forall_pos_le_add` down
theorem lt_iff_exists_rat_btwn :
a < b ↔ ∃ q : ℚ, 0 ≤ q ∧ a < Real.toNNReal q ∧ (Real.toNNReal q : ℝ≥0∞) < b :=
⟨fun h => by
rcases lt_iff_exists_coe.1 h with ⟨p, rfl, _⟩
rcases exists_between h with ⟨c, pc, cb⟩
rcases lt_iff_exists_coe.1 cb with ⟨r, rfl, _⟩
rcases (NNReal.lt_iff_exists_rat_btwn _ _).1 (coe_lt_coe.1 pc) with ⟨q, hq0, pq, qr⟩
exact ⟨q, hq0, coe_lt_coe.2 pq, lt_trans (coe_lt_coe.2 qr) cb⟩,
fun ⟨q, _, qa, qb⟩ => lt_trans qa qb⟩
#align ennreal.lt_iff_exists_rat_btwn ENNReal.lt_iff_exists_rat_btwn
theorem lt_iff_exists_real_btwn :
a < b ↔ ∃ r : ℝ, 0 ≤ r ∧ a < ENNReal.ofReal r ∧ (ENNReal.ofReal r : ℝ≥0∞) < b :=
⟨fun h =>
let ⟨q, q0, aq, qb⟩ := ENNReal.lt_iff_exists_rat_btwn.1 h
⟨q, Rat.cast_nonneg.2 q0, aq, qb⟩,
fun ⟨_, _, qa, qb⟩ => lt_trans qa qb⟩
#align ennreal.lt_iff_exists_real_btwn ENNReal.lt_iff_exists_real_btwn
theorem lt_iff_exists_nnreal_btwn : a < b ↔ ∃ r : ℝ≥0, a < r ∧ (r : ℝ≥0∞) < b :=
WithTop.lt_iff_exists_coe_btwn
#align ennreal.lt_iff_exists_nnreal_btwn ENNReal.lt_iff_exists_nnreal_btwn
theorem lt_iff_exists_add_pos_lt : a < b ↔ ∃ r : ℝ≥0, 0 < r ∧ a + r < b := by
refine ⟨fun hab => ?_, fun ⟨r, _, hr⟩ => lt_of_le_of_lt le_self_add hr⟩
rcases lt_iff_exists_nnreal_btwn.1 hab with ⟨c, ac, cb⟩
lift a to ℝ≥0 using ac.ne_top
rw [coe_lt_coe] at ac
refine ⟨c - a, tsub_pos_iff_lt.2 ac, ?_⟩
rwa [← coe_add, add_tsub_cancel_of_le ac.le]
#align ennreal.lt_iff_exists_add_pos_lt ENNReal.lt_iff_exists_add_pos_lt
theorem le_of_forall_pos_le_add (h : ∀ ε : ℝ≥0, 0 < ε → b < ∞ → a ≤ b + ε) : a ≤ b := by
contrapose! h
rcases lt_iff_exists_add_pos_lt.1 h with ⟨r, hr0, hr⟩
exact ⟨r, hr0, h.trans_le le_top, hr⟩
#align ennreal.le_of_forall_pos_le_add ENNReal.le_of_forall_pos_le_add
theorem natCast_lt_coe {n : ℕ} : n < (r : ℝ≥0∞) ↔ n < r := ENNReal.coe_natCast n ▸ coe_lt_coe
#align ennreal.coe_nat_lt_coe ENNReal.natCast_lt_coe
theorem coe_lt_natCast {n : ℕ} : (r : ℝ≥0∞) < n ↔ r < n := ENNReal.coe_natCast n ▸ coe_lt_coe
#align ennreal.coe_lt_coe_nat ENNReal.coe_lt_natCast
@[deprecated (since := "2024-04-05")] alias coe_nat := coe_natCast
@[deprecated (since := "2024-04-05")] alias ofReal_coe_nat := ofReal_natCast
@[deprecated (since := "2024-04-05")] alias nat_ne_top := natCast_ne_top
@[deprecated (since := "2024-04-05")] alias top_ne_nat := top_ne_natCast
@[deprecated (since := "2024-04-05")] alias coe_nat_lt_coe := natCast_lt_coe
@[deprecated (since := "2024-04-05")] alias coe_lt_coe_nat := coe_lt_natCast
protected theorem exists_nat_gt {r : ℝ≥0∞} (h : r ≠ ∞) : ∃ n : ℕ, r < n := by
lift r to ℝ≥0 using h
rcases exists_nat_gt r with ⟨n, hn⟩
exact ⟨n, coe_lt_natCast.2 hn⟩
#align ennreal.exists_nat_gt ENNReal.exists_nat_gt
@[simp]
theorem iUnion_Iio_coe_nat : ⋃ n : ℕ, Iio (n : ℝ≥0∞) = {∞}ᶜ := by
ext x
rw [mem_iUnion]
exact ⟨fun ⟨n, hn⟩ => ne_top_of_lt hn, ENNReal.exists_nat_gt⟩
#align ennreal.Union_Iio_coe_nat ENNReal.iUnion_Iio_coe_nat
@[simp]
theorem iUnion_Iic_coe_nat : ⋃ n : ℕ, Iic (n : ℝ≥0∞) = {∞}ᶜ :=
Subset.antisymm (iUnion_subset fun n _x hx => ne_top_of_le_ne_top (natCast_ne_top n) hx) <|
iUnion_Iio_coe_nat ▸ iUnion_mono fun _ => Iio_subset_Iic_self
#align ennreal.Union_Iic_coe_nat ENNReal.iUnion_Iic_coe_nat
@[simp]
theorem iUnion_Ioc_coe_nat : ⋃ n : ℕ, Ioc a n = Ioi a \ {∞} := by
simp only [← Ioi_inter_Iic, ← inter_iUnion, iUnion_Iic_coe_nat, diff_eq]
#align ennreal.Union_Ioc_coe_nat ENNReal.iUnion_Ioc_coe_nat
@[simp]
| Mathlib/Data/ENNReal/Basic.lean | 703 | 704 | theorem iUnion_Ioo_coe_nat : ⋃ n : ℕ, Ioo a n = Ioi a \ {∞} := by |
simp only [← Ioi_inter_Iio, ← inter_iUnion, iUnion_Iio_coe_nat, diff_eq]
|
import Mathlib.Data.Fintype.List
#align_import data.list.cycle from "leanprover-community/mathlib"@"7413128c3bcb3b0818e3e18720abc9ea3100fb49"
assert_not_exists MonoidWithZero
open List
def Cycle (α : Type*) : Type _ :=
Quotient (IsRotated.setoid α)
#align cycle Cycle
namespace Cycle
variable {α : Type*}
-- Porting note (#11445): new definition
@[coe] def ofList : List α → Cycle α :=
Quot.mk _
instance : Coe (List α) (Cycle α) :=
⟨ofList⟩
@[simp]
theorem coe_eq_coe {l₁ l₂ : List α} : (l₁ : Cycle α) = (l₂ : Cycle α) ↔ l₁ ~r l₂ :=
@Quotient.eq _ (IsRotated.setoid _) _ _
#align cycle.coe_eq_coe Cycle.coe_eq_coe
@[simp]
theorem mk_eq_coe (l : List α) : Quot.mk _ l = (l : Cycle α) :=
rfl
#align cycle.mk_eq_coe Cycle.mk_eq_coe
@[simp]
theorem mk''_eq_coe (l : List α) : Quotient.mk'' l = (l : Cycle α) :=
rfl
#align cycle.mk'_eq_coe Cycle.mk''_eq_coe
theorem coe_cons_eq_coe_append (l : List α) (a : α) :
(↑(a :: l) : Cycle α) = (↑(l ++ [a]) : Cycle α) :=
Quot.sound ⟨1, by rw [rotate_cons_succ, rotate_zero]⟩
#align cycle.coe_cons_eq_coe_append Cycle.coe_cons_eq_coe_append
def nil : Cycle α :=
([] : List α)
#align cycle.nil Cycle.nil
@[simp]
theorem coe_nil : ↑([] : List α) = @nil α :=
rfl
#align cycle.coe_nil Cycle.coe_nil
@[simp]
theorem coe_eq_nil (l : List α) : (l : Cycle α) = nil ↔ l = [] :=
coe_eq_coe.trans isRotated_nil_iff
#align cycle.coe_eq_nil Cycle.coe_eq_nil
instance : EmptyCollection (Cycle α) :=
⟨nil⟩
@[simp]
theorem empty_eq : ∅ = @nil α :=
rfl
#align cycle.empty_eq Cycle.empty_eq
instance : Inhabited (Cycle α) :=
⟨nil⟩
@[elab_as_elim]
theorem induction_on {C : Cycle α → Prop} (s : Cycle α) (H0 : C nil)
(HI : ∀ (a) (l : List α), C ↑l → C ↑(a :: l)) : C s :=
Quotient.inductionOn' s fun l => by
refine List.recOn l ?_ ?_ <;> simp
assumption'
#align cycle.induction_on Cycle.induction_on
def Mem (a : α) (s : Cycle α) : Prop :=
Quot.liftOn s (fun l => a ∈ l) fun _ _ e => propext <| e.mem_iff
#align cycle.mem Cycle.Mem
instance : Membership α (Cycle α) :=
⟨Mem⟩
@[simp]
theorem mem_coe_iff {a : α} {l : List α} : a ∈ (↑l : Cycle α) ↔ a ∈ l :=
Iff.rfl
#align cycle.mem_coe_iff Cycle.mem_coe_iff
@[simp]
theorem not_mem_nil : ∀ a, a ∉ @nil α :=
List.not_mem_nil
#align cycle.not_mem_nil Cycle.not_mem_nil
instance [DecidableEq α] : DecidableEq (Cycle α) := fun s₁ s₂ =>
Quotient.recOnSubsingleton₂' s₁ s₂ fun _ _ => decidable_of_iff' _ Quotient.eq''
instance [DecidableEq α] (x : α) (s : Cycle α) : Decidable (x ∈ s) :=
Quotient.recOnSubsingleton' s fun l => show Decidable (x ∈ l) from inferInstance
nonrec def reverse (s : Cycle α) : Cycle α :=
Quot.map reverse (fun _ _ => IsRotated.reverse) s
#align cycle.reverse Cycle.reverse
@[simp]
theorem reverse_coe (l : List α) : (l : Cycle α).reverse = l.reverse :=
rfl
#align cycle.reverse_coe Cycle.reverse_coe
@[simp]
theorem mem_reverse_iff {a : α} {s : Cycle α} : a ∈ s.reverse ↔ a ∈ s :=
Quot.inductionOn s fun _ => mem_reverse
#align cycle.mem_reverse_iff Cycle.mem_reverse_iff
@[simp]
theorem reverse_reverse (s : Cycle α) : s.reverse.reverse = s :=
Quot.inductionOn s fun _ => by simp
#align cycle.reverse_reverse Cycle.reverse_reverse
@[simp]
theorem reverse_nil : nil.reverse = @nil α :=
rfl
#align cycle.reverse_nil Cycle.reverse_nil
def length (s : Cycle α) : ℕ :=
Quot.liftOn s List.length fun _ _ e => e.perm.length_eq
#align cycle.length Cycle.length
@[simp]
theorem length_coe (l : List α) : length (l : Cycle α) = l.length :=
rfl
#align cycle.length_coe Cycle.length_coe
@[simp]
theorem length_nil : length (@nil α) = 0 :=
rfl
#align cycle.length_nil Cycle.length_nil
@[simp]
theorem length_reverse (s : Cycle α) : s.reverse.length = s.length :=
Quot.inductionOn s List.length_reverse
#align cycle.length_reverse Cycle.length_reverse
def Subsingleton (s : Cycle α) : Prop :=
s.length ≤ 1
#align cycle.subsingleton Cycle.Subsingleton
theorem subsingleton_nil : Subsingleton (@nil α) := Nat.zero_le _
#align cycle.subsingleton_nil Cycle.subsingleton_nil
theorem length_subsingleton_iff {s : Cycle α} : Subsingleton s ↔ length s ≤ 1 :=
Iff.rfl
#align cycle.length_subsingleton_iff Cycle.length_subsingleton_iff
@[simp]
theorem subsingleton_reverse_iff {s : Cycle α} : s.reverse.Subsingleton ↔ s.Subsingleton := by
simp [length_subsingleton_iff]
#align cycle.subsingleton_reverse_iff Cycle.subsingleton_reverse_iff
theorem Subsingleton.congr {s : Cycle α} (h : Subsingleton s) :
∀ ⦃x⦄ (_hx : x ∈ s) ⦃y⦄ (_hy : y ∈ s), x = y := by
induction' s using Quot.inductionOn with l
simp only [length_subsingleton_iff, length_coe, mk_eq_coe, le_iff_lt_or_eq, Nat.lt_add_one_iff,
length_eq_zero, length_eq_one, Nat.not_lt_zero, false_or_iff] at h
rcases h with (rfl | ⟨z, rfl⟩) <;> simp
#align cycle.subsingleton.congr Cycle.Subsingleton.congr
def Nontrivial (s : Cycle α) : Prop :=
∃ x y : α, x ≠ y ∧ x ∈ s ∧ y ∈ s
#align cycle.nontrivial Cycle.Nontrivial
@[simp]
theorem nontrivial_coe_nodup_iff {l : List α} (hl : l.Nodup) :
Nontrivial (l : Cycle α) ↔ 2 ≤ l.length := by
rw [Nontrivial]
rcases l with (_ | ⟨hd, _ | ⟨hd', tl⟩⟩)
· simp
· simp
· simp only [mem_cons, exists_prop, mem_coe_iff, List.length, Ne, Nat.succ_le_succ_iff,
Nat.zero_le, iff_true_iff]
refine ⟨hd, hd', ?_, by simp⟩
simp only [not_or, mem_cons, nodup_cons] at hl
exact hl.left.left
#align cycle.nontrivial_coe_nodup_iff Cycle.nontrivial_coe_nodup_iff
@[simp]
theorem nontrivial_reverse_iff {s : Cycle α} : s.reverse.Nontrivial ↔ s.Nontrivial := by
simp [Nontrivial]
#align cycle.nontrivial_reverse_iff Cycle.nontrivial_reverse_iff
theorem length_nontrivial {s : Cycle α} (h : Nontrivial s) : 2 ≤ length s := by
obtain ⟨x, y, hxy, hx, hy⟩ := h
induction' s using Quot.inductionOn with l
rcases l with (_ | ⟨hd, _ | ⟨hd', tl⟩⟩)
· simp at hx
· simp only [mem_coe_iff, mk_eq_coe, mem_singleton] at hx hy
simp [hx, hy] at hxy
· simp [Nat.succ_le_succ_iff]
#align cycle.length_nontrivial Cycle.length_nontrivial
nonrec def Nodup (s : Cycle α) : Prop :=
Quot.liftOn s Nodup fun _l₁ _l₂ e => propext <| e.nodup_iff
#align cycle.nodup Cycle.Nodup
@[simp]
nonrec theorem nodup_nil : Nodup (@nil α) :=
nodup_nil
#align cycle.nodup_nil Cycle.nodup_nil
@[simp]
theorem nodup_coe_iff {l : List α} : Nodup (l : Cycle α) ↔ l.Nodup :=
Iff.rfl
#align cycle.nodup_coe_iff Cycle.nodup_coe_iff
@[simp]
theorem nodup_reverse_iff {s : Cycle α} : s.reverse.Nodup ↔ s.Nodup :=
Quot.inductionOn s fun _ => nodup_reverse
#align cycle.nodup_reverse_iff Cycle.nodup_reverse_iff
theorem Subsingleton.nodup {s : Cycle α} (h : Subsingleton s) : Nodup s := by
induction' s using Quot.inductionOn with l
cases' l with hd tl
· simp
· have : tl = [] := by simpa [Subsingleton, length_eq_zero, Nat.succ_le_succ_iff] using h
simp [this]
#align cycle.subsingleton.nodup Cycle.Subsingleton.nodup
theorem Nodup.nontrivial_iff {s : Cycle α} (h : Nodup s) : Nontrivial s ↔ ¬Subsingleton s := by
rw [length_subsingleton_iff]
induction s using Quotient.inductionOn'
simp only [mk''_eq_coe, nodup_coe_iff] at h
simp [h, Nat.succ_le_iff]
#align cycle.nodup.nontrivial_iff Cycle.Nodup.nontrivial_iff
def toMultiset (s : Cycle α) : Multiset α :=
Quotient.liftOn' s (↑) fun _ _ h => Multiset.coe_eq_coe.mpr h.perm
#align cycle.to_multiset Cycle.toMultiset
@[simp]
theorem coe_toMultiset (l : List α) : (l : Cycle α).toMultiset = l :=
rfl
#align cycle.coe_to_multiset Cycle.coe_toMultiset
@[simp]
theorem nil_toMultiset : nil.toMultiset = (0 : Multiset α) :=
rfl
#align cycle.nil_to_multiset Cycle.nil_toMultiset
@[simp]
theorem card_toMultiset (s : Cycle α) : Multiset.card s.toMultiset = s.length :=
Quotient.inductionOn' s (by simp)
#align cycle.card_to_multiset Cycle.card_toMultiset
@[simp]
theorem toMultiset_eq_nil {s : Cycle α} : s.toMultiset = 0 ↔ s = Cycle.nil :=
Quotient.inductionOn' s (by simp)
#align cycle.to_multiset_eq_nil Cycle.toMultiset_eq_nil
def map {β : Type*} (f : α → β) : Cycle α → Cycle β :=
Quotient.map' (List.map f) fun _ _ h => h.map _
#align cycle.map Cycle.map
@[simp]
theorem map_nil {β : Type*} (f : α → β) : map f nil = nil :=
rfl
#align cycle.map_nil Cycle.map_nil
@[simp]
theorem map_coe {β : Type*} (f : α → β) (l : List α) : map f ↑l = List.map f l :=
rfl
#align cycle.map_coe Cycle.map_coe
@[simp]
theorem map_eq_nil {β : Type*} (f : α → β) (s : Cycle α) : map f s = nil ↔ s = nil :=
Quotient.inductionOn' s (by simp)
#align cycle.map_eq_nil Cycle.map_eq_nil
@[simp]
theorem mem_map {β : Type*} {f : α → β} {b : β} {s : Cycle α} :
b ∈ s.map f ↔ ∃ a, a ∈ s ∧ f a = b :=
Quotient.inductionOn' s (by simp)
#align cycle.mem_map Cycle.mem_map
def lists (s : Cycle α) : Multiset (List α) :=
Quotient.liftOn' s (fun l => (l.cyclicPermutations : Multiset (List α))) fun l₁ l₂ h => by
simpa using h.cyclicPermutations.perm
#align cycle.lists Cycle.lists
@[simp]
theorem lists_coe (l : List α) : lists (l : Cycle α) = ↑l.cyclicPermutations :=
rfl
#align cycle.lists_coe Cycle.lists_coe
@[simp]
theorem mem_lists_iff_coe_eq {s : Cycle α} {l : List α} : l ∈ s.lists ↔ (l : Cycle α) = s :=
Quotient.inductionOn' s fun l => by
rw [lists, Quotient.liftOn'_mk'']
simp
#align cycle.mem_lists_iff_coe_eq Cycle.mem_lists_iff_coe_eq
@[simp]
theorem lists_nil : lists (@nil α) = [([] : List α)] := by
rw [nil, lists_coe, cyclicPermutations_nil]
#align cycle.lists_nil Cycle.lists_nil
unsafe instance [Repr α] : Repr (Cycle α) :=
⟨fun s _ => "c[" ++ Std.Format.joinSep (s.map repr).lists.unquot.head! ", " ++ "]"⟩
nonrec def Chain (r : α → α → Prop) (c : Cycle α) : Prop :=
Quotient.liftOn' c
(fun l =>
match l with
| [] => True
| a :: m => Chain r a (m ++ [a]))
fun a b hab =>
propext <| by
cases' a with a l <;> cases' b with b m
· rfl
· have := isRotated_nil_iff'.1 hab
contradiction
· have := isRotated_nil_iff.1 hab
contradiction
· dsimp only
cases' hab with n hn
induction' n with d hd generalizing a b l m
· simp only [Nat.zero_eq, rotate_zero, cons.injEq] at hn
rw [hn.1, hn.2]
· cases' l with c s
· simp only [rotate_cons_succ, nil_append, rotate_singleton, cons.injEq] at hn
rw [hn.1, hn.2]
· rw [Nat.add_comm, ← rotate_rotate, rotate_cons_succ, rotate_zero, cons_append] at hn
rw [← hd c _ _ _ hn]
simp [and_comm]
#align cycle.chain Cycle.Chain
@[simp]
| Mathlib/Data/List/Cycle.lean | 930 | 930 | theorem Chain.nil (r : α → α → Prop) : Cycle.Chain r (@nil α) := by | trivial
|
import Mathlib.Algebra.Ring.Int
import Mathlib.Data.ZMod.Basic
import Mathlib.FieldTheory.Finite.Basic
import Mathlib.Data.Fintype.BigOperators
#align_import number_theory.sum_four_squares from "leanprover-community/mathlib"@"bd9851ca476957ea4549eb19b40e7b5ade9428cc"
open Finset Polynomial FiniteField Equiv
theorem euler_four_squares {R : Type*} [CommRing R] (a b c d x y z w : R) :
(a * x - b * y - c * z - d * w) ^ 2 + (a * y + b * x + c * w - d * z) ^ 2 +
(a * z - b * w + c * x + d * y) ^ 2 + (a * w + b * z - c * y + d * x) ^ 2 =
(a ^ 2 + b ^ 2 + c ^ 2 + d ^ 2) * (x ^ 2 + y ^ 2 + z ^ 2 + w ^ 2) := by ring
theorem Nat.euler_four_squares (a b c d x y z w : ℕ) :
((a : ℤ) * x - b * y - c * z - d * w).natAbs ^ 2 +
((a : ℤ) * y + b * x + c * w - d * z).natAbs ^ 2 +
((a : ℤ) * z - b * w + c * x + d * y).natAbs ^ 2 +
((a : ℤ) * w + b * z - c * y + d * x).natAbs ^ 2 =
(a ^ 2 + b ^ 2 + c ^ 2 + d ^ 2) * (x ^ 2 + y ^ 2 + z ^ 2 + w ^ 2) := by
rw [← Int.natCast_inj]
push_cast
simp only [sq_abs, _root_.euler_four_squares]
namespace Int
theorem sq_add_sq_of_two_mul_sq_add_sq {m x y : ℤ} (h : 2 * m = x ^ 2 + y ^ 2) :
m = ((x - y) / 2) ^ 2 + ((x + y) / 2) ^ 2 :=
have : Even (x ^ 2 + y ^ 2) := by simp [← h, even_mul]
have hxaddy : Even (x + y) := by simpa [sq, parity_simps]
have hxsuby : Even (x - y) := by simpa [sq, parity_simps]
mul_right_injective₀ (show (2 * 2 : ℤ) ≠ 0 by decide) <|
calc
2 * 2 * m = (x - y) ^ 2 + (x + y) ^ 2 := by rw [mul_assoc, h]; ring
_ = (2 * ((x - y) / 2)) ^ 2 + (2 * ((x + y) / 2)) ^ 2 := by
rw [even_iff_two_dvd] at hxsuby hxaddy
rw [Int.mul_ediv_cancel' hxsuby, Int.mul_ediv_cancel' hxaddy]
_ = 2 * 2 * (((x - y) / 2) ^ 2 + ((x + y) / 2) ^ 2) := by
set_option simprocs false in
simp [mul_add, pow_succ, mul_comm, mul_assoc, mul_left_comm]
#align int.sq_add_sq_of_two_mul_sq_add_sq Int.sq_add_sq_of_two_mul_sq_add_sq
-- Porting note (#10756): new theorem
theorem lt_of_sum_four_squares_eq_mul {a b c d k m : ℕ}
(h : a ^ 2 + b ^ 2 + c ^ 2 + d ^ 2 = k * m)
(ha : 2 * a < m) (hb : 2 * b < m) (hc : 2 * c < m) (hd : 2 * d < m) :
k < m := by
refine _root_.lt_of_mul_lt_mul_right
(_root_.lt_of_mul_lt_mul_left ?_ (zero_le (2 ^ 2))) (zero_le m)
calc
2 ^ 2 * (k * ↑m) = ∑ i : Fin 4, (2 * ![a, b, c, d] i) ^ 2 := by
simp [← h, Fin.sum_univ_succ, mul_add, mul_pow, add_assoc]
_ < ∑ _i : Fin 4, m ^ 2 := Finset.sum_lt_sum_of_nonempty Finset.univ_nonempty fun i _ ↦ by
refine pow_lt_pow_left ?_ (zero_le _) two_ne_zero
fin_cases i <;> assumption
_ = 2 ^ 2 * (m * m) := by simp; ring
-- Porting note (#10756): new theorem
| Mathlib/NumberTheory/SumFourSquares.lean | 78 | 96 | theorem exists_sq_add_sq_add_one_eq_mul (p : ℕ) [hp : Fact p.Prime] :
∃ (a b k : ℕ), 0 < k ∧ k < p ∧ a ^ 2 + b ^ 2 + 1 = k * p := by |
rcases hp.1.eq_two_or_odd' with (rfl | hodd)
· use 1, 0, 1; simp
rcases Nat.sq_add_sq_zmodEq p (-1) with ⟨a, b, ha, hb, hab⟩
rcases Int.modEq_iff_dvd.1 hab.symm with ⟨k, hk⟩
rw [sub_neg_eq_add, mul_comm] at hk
have hk₀ : 0 < k := by
refine pos_of_mul_pos_left ?_ (Nat.cast_nonneg p)
rw [← hk]
positivity
lift k to ℕ using hk₀.le
refine ⟨a, b, k, Nat.cast_pos.1 hk₀, ?_, mod_cast hk⟩
replace hk : a ^ 2 + b ^ 2 + 1 ^ 2 + 0 ^ 2 = k * p := mod_cast hk
refine lt_of_sum_four_squares_eq_mul hk ?_ ?_ ?_ ?_
· exact (mul_le_mul' le_rfl ha).trans_lt (Nat.mul_div_lt_iff_not_dvd.2 hodd.not_two_dvd_nat)
· exact (mul_le_mul' le_rfl hb).trans_lt (Nat.mul_div_lt_iff_not_dvd.2 hodd.not_two_dvd_nat)
· exact lt_of_le_of_ne hp.1.two_le (hodd.ne_two_of_dvd_nat (dvd_refl _)).symm
· exact hp.1.pos
|
import Mathlib.Topology.Algebra.InfiniteSum.Basic
import Mathlib.Topology.Algebra.Ring.Basic
import Mathlib.Topology.Algebra.Star
import Mathlib.LinearAlgebra.Matrix.NonsingularInverse
import Mathlib.LinearAlgebra.Matrix.Trace
#align_import topology.instances.matrix from "leanprover-community/mathlib"@"3e068ece210655b7b9a9477c3aff38a492400aa1"
open Matrix
variable {X α l m n p S R : Type*} {m' n' : l → Type*}
instance [TopologicalSpace R] : TopologicalSpace (Matrix m n R) :=
Pi.topologicalSpace
instance [TopologicalSpace R] [T2Space R] : T2Space (Matrix m n R) :=
Pi.t2Space
section Continuity
variable [TopologicalSpace X] [TopologicalSpace R]
instance [SMul α R] [ContinuousConstSMul α R] : ContinuousConstSMul α (Matrix m n R) :=
inferInstanceAs (ContinuousConstSMul α (m → n → R))
instance [TopologicalSpace α] [SMul α R] [ContinuousSMul α R] : ContinuousSMul α (Matrix m n R) :=
inferInstanceAs (ContinuousSMul α (m → n → R))
instance [Add R] [ContinuousAdd R] : ContinuousAdd (Matrix m n R) :=
Pi.continuousAdd
instance [Neg R] [ContinuousNeg R] : ContinuousNeg (Matrix m n R) :=
Pi.continuousNeg
instance [AddGroup R] [TopologicalAddGroup R] : TopologicalAddGroup (Matrix m n R) :=
Pi.topologicalAddGroup
@[continuity]
theorem continuous_matrix [TopologicalSpace α] {f : α → Matrix m n R}
(h : ∀ i j, Continuous fun a => f a i j) : Continuous f :=
continuous_pi fun _ => continuous_pi fun _ => h _ _
#align continuous_matrix continuous_matrix
theorem Continuous.matrix_elem {A : X → Matrix m n R} (hA : Continuous A) (i : m) (j : n) :
Continuous fun x => A x i j :=
(continuous_apply_apply i j).comp hA
#align continuous.matrix_elem Continuous.matrix_elem
@[continuity]
theorem Continuous.matrix_map [TopologicalSpace S] {A : X → Matrix m n S} {f : S → R}
(hA : Continuous A) (hf : Continuous f) : Continuous fun x => (A x).map f :=
continuous_matrix fun _ _ => hf.comp <| hA.matrix_elem _ _
#align continuous.matrix_map Continuous.matrix_map
@[continuity]
theorem Continuous.matrix_transpose {A : X → Matrix m n R} (hA : Continuous A) :
Continuous fun x => (A x)ᵀ :=
continuous_matrix fun i j => hA.matrix_elem j i
#align continuous.matrix_transpose Continuous.matrix_transpose
theorem Continuous.matrix_conjTranspose [Star R] [ContinuousStar R] {A : X → Matrix m n R}
(hA : Continuous A) : Continuous fun x => (A x)ᴴ :=
hA.matrix_transpose.matrix_map continuous_star
#align continuous.matrix_conj_transpose Continuous.matrix_conjTranspose
instance [Star R] [ContinuousStar R] : ContinuousStar (Matrix m m R) :=
⟨continuous_id.matrix_conjTranspose⟩
@[continuity]
theorem Continuous.matrix_col {A : X → n → R} (hA : Continuous A) : Continuous fun x => col (A x) :=
continuous_matrix fun i _ => (continuous_apply i).comp hA
#align continuous.matrix_col Continuous.matrix_col
@[continuity]
theorem Continuous.matrix_row {A : X → n → R} (hA : Continuous A) : Continuous fun x => row (A x) :=
continuous_matrix fun _ _ => (continuous_apply _).comp hA
#align continuous.matrix_row Continuous.matrix_row
@[continuity]
theorem Continuous.matrix_diagonal [Zero R] [DecidableEq n] {A : X → n → R} (hA : Continuous A) :
Continuous fun x => diagonal (A x) :=
continuous_matrix fun i _ => ((continuous_apply i).comp hA).if_const _ continuous_zero
#align continuous.matrix_diagonal Continuous.matrix_diagonal
@[continuity]
theorem Continuous.matrix_dotProduct [Fintype n] [Mul R] [AddCommMonoid R] [ContinuousAdd R]
[ContinuousMul R] {A : X → n → R} {B : X → n → R} (hA : Continuous A) (hB : Continuous B) :
Continuous fun x => dotProduct (A x) (B x) :=
continuous_finset_sum _ fun i _ =>
((continuous_apply i).comp hA).mul ((continuous_apply i).comp hB)
#align continuous.matrix_dot_product Continuous.matrix_dotProduct
@[continuity]
theorem Continuous.matrix_mul [Fintype n] [Mul R] [AddCommMonoid R] [ContinuousAdd R]
[ContinuousMul R] {A : X → Matrix m n R} {B : X → Matrix n p R} (hA : Continuous A)
(hB : Continuous B) : Continuous fun x => A x * B x :=
continuous_matrix fun _ _ =>
continuous_finset_sum _ fun _ _ => (hA.matrix_elem _ _).mul (hB.matrix_elem _ _)
#align continuous.matrix_mul Continuous.matrix_mul
instance [Fintype n] [Mul R] [AddCommMonoid R] [ContinuousAdd R] [ContinuousMul R] :
ContinuousMul (Matrix n n R) :=
⟨continuous_fst.matrix_mul continuous_snd⟩
instance [Fintype n] [NonUnitalNonAssocSemiring R] [TopologicalSemiring R] :
TopologicalSemiring (Matrix n n R) where
instance Matrix.topologicalRing [Fintype n] [NonUnitalNonAssocRing R] [TopologicalRing R] :
TopologicalRing (Matrix n n R) where
#align matrix.topological_ring Matrix.topologicalRing
@[continuity]
theorem Continuous.matrix_vecMulVec [Mul R] [ContinuousMul R] {A : X → m → R} {B : X → n → R}
(hA : Continuous A) (hB : Continuous B) : Continuous fun x => vecMulVec (A x) (B x) :=
continuous_matrix fun _ _ => ((continuous_apply _).comp hA).mul ((continuous_apply _).comp hB)
#align continuous.matrix_vec_mul_vec Continuous.matrix_vecMulVec
@[continuity]
theorem Continuous.matrix_mulVec [NonUnitalNonAssocSemiring R] [ContinuousAdd R] [ContinuousMul R]
[Fintype n] {A : X → Matrix m n R} {B : X → n → R} (hA : Continuous A) (hB : Continuous B) :
Continuous fun x => A x *ᵥ B x :=
continuous_pi fun i => ((continuous_apply i).comp hA).matrix_dotProduct hB
#align continuous.matrix_mul_vec Continuous.matrix_mulVec
@[continuity]
theorem Continuous.matrix_vecMul [NonUnitalNonAssocSemiring R] [ContinuousAdd R] [ContinuousMul R]
[Fintype m] {A : X → m → R} {B : X → Matrix m n R} (hA : Continuous A) (hB : Continuous B) :
Continuous fun x => A x ᵥ* B x :=
continuous_pi fun _i => hA.matrix_dotProduct <| continuous_pi fun _j => hB.matrix_elem _ _
#align continuous.matrix_vec_mul Continuous.matrix_vecMul
@[continuity]
theorem Continuous.matrix_submatrix {A : X → Matrix l n R} (hA : Continuous A) (e₁ : m → l)
(e₂ : p → n) : Continuous fun x => (A x).submatrix e₁ e₂ :=
continuous_matrix fun _i _j => hA.matrix_elem _ _
#align continuous.matrix_submatrix Continuous.matrix_submatrix
@[continuity]
theorem Continuous.matrix_reindex {A : X → Matrix l n R} (hA : Continuous A) (e₁ : l ≃ m)
(e₂ : n ≃ p) : Continuous fun x => reindex e₁ e₂ (A x) :=
hA.matrix_submatrix _ _
#align continuous.matrix_reindex Continuous.matrix_reindex
@[continuity]
theorem Continuous.matrix_diag {A : X → Matrix n n R} (hA : Continuous A) :
Continuous fun x => Matrix.diag (A x) :=
continuous_pi fun _ => hA.matrix_elem _ _
#align continuous.matrix_diag Continuous.matrix_diag
-- note this doesn't elaborate well from the above
theorem continuous_matrix_diag : Continuous (Matrix.diag : Matrix n n R → n → R) :=
show Continuous fun x : Matrix n n R => Matrix.diag x from continuous_id.matrix_diag
#align continuous_matrix_diag continuous_matrix_diag
@[continuity]
theorem Continuous.matrix_trace [Fintype n] [AddCommMonoid R] [ContinuousAdd R]
{A : X → Matrix n n R} (hA : Continuous A) : Continuous fun x => trace (A x) :=
continuous_finset_sum _ fun _ _ => hA.matrix_elem _ _
#align continuous.matrix_trace Continuous.matrix_trace
@[continuity]
| Mathlib/Topology/Instances/Matrix.lean | 194 | 198 | theorem Continuous.matrix_det [Fintype n] [DecidableEq n] [CommRing R] [TopologicalRing R]
{A : X → Matrix n n R} (hA : Continuous A) : Continuous fun x => (A x).det := by |
simp_rw [Matrix.det_apply]
refine continuous_finset_sum _ fun l _ => Continuous.const_smul ?_ _
exact continuous_finset_prod _ fun l _ => hA.matrix_elem _ _
|
import Mathlib.Algebra.Polynomial.AlgebraMap
import Mathlib.Algebra.Polynomial.Basic
import Mathlib.RingTheory.Ideal.Maps
import Mathlib.RingTheory.MvPowerSeries.Basic
#align_import ring_theory.power_series.basic from "leanprover-community/mathlib"@"2d5739b61641ee4e7e53eca5688a08f66f2e6a60"
noncomputable section
open Finset (antidiagonal mem_antidiagonal)
def PowerSeries (R : Type*) :=
MvPowerSeries Unit R
#align power_series PowerSeries
namespace PowerSeries
open Finsupp (single)
variable {R : Type*}
section
-- Porting note: not available in Lean 4
-- local reducible PowerSeries
scoped notation:9000 R "⟦X⟧" => PowerSeries R
instance [Inhabited R] : Inhabited R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance [Zero R] : Zero R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance [AddMonoid R] : AddMonoid R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance [AddGroup R] : AddGroup R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance [AddCommMonoid R] : AddCommMonoid R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance [AddCommGroup R] : AddCommGroup R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance [Semiring R] : Semiring R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance [CommSemiring R] : CommSemiring R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance [Ring R] : Ring R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance [CommRing R] : CommRing R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance [Nontrivial R] : Nontrivial R⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance {A} [Semiring R] [AddCommMonoid A] [Module R A] : Module R A⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
instance {A S} [Semiring R] [Semiring S] [AddCommMonoid A] [Module R A] [Module S A] [SMul R S]
[IsScalarTower R S A] : IsScalarTower R S A⟦X⟧ :=
Pi.isScalarTower
instance {A} [Semiring A] [CommSemiring R] [Algebra R A] : Algebra R A⟦X⟧ := by
dsimp only [PowerSeries]
infer_instance
end
section Semiring
variable (R) [Semiring R]
def coeff (n : ℕ) : R⟦X⟧ →ₗ[R] R :=
MvPowerSeries.coeff R (single () n)
#align power_series.coeff PowerSeries.coeff
def monomial (n : ℕ) : R →ₗ[R] R⟦X⟧ :=
MvPowerSeries.monomial R (single () n)
#align power_series.monomial PowerSeries.monomial
variable {R}
theorem coeff_def {s : Unit →₀ ℕ} {n : ℕ} (h : s () = n) : coeff R n = MvPowerSeries.coeff R s := by
erw [coeff, ← h, ← Finsupp.unique_single s]
#align power_series.coeff_def PowerSeries.coeff_def
@[ext]
theorem ext {φ ψ : R⟦X⟧} (h : ∀ n, coeff R n φ = coeff R n ψ) : φ = ψ :=
MvPowerSeries.ext fun n => by
rw [← coeff_def]
· apply h
rfl
#align power_series.ext PowerSeries.ext
theorem ext_iff {φ ψ : R⟦X⟧} : φ = ψ ↔ ∀ n, coeff R n φ = coeff R n ψ :=
⟨fun h n => congr_arg (coeff R n) h, ext⟩
#align power_series.ext_iff PowerSeries.ext_iff
instance [Subsingleton R] : Subsingleton R⟦X⟧ := by
simp only [subsingleton_iff, ext_iff]
exact fun _ _ _ ↦ (subsingleton_iff).mp (by infer_instance) _ _
def mk {R} (f : ℕ → R) : R⟦X⟧ := fun s => f (s ())
#align power_series.mk PowerSeries.mk
@[simp]
theorem coeff_mk (n : ℕ) (f : ℕ → R) : coeff R n (mk f) = f n :=
congr_arg f Finsupp.single_eq_same
#align power_series.coeff_mk PowerSeries.coeff_mk
theorem coeff_monomial (m n : ℕ) (a : R) : coeff R m (monomial R n a) = if m = n then a else 0 :=
calc
coeff R m (monomial R n a) = _ := MvPowerSeries.coeff_monomial _ _ _
_ = if m = n then a else 0 := by simp only [Finsupp.unique_single_eq_iff]
#align power_series.coeff_monomial PowerSeries.coeff_monomial
theorem monomial_eq_mk (n : ℕ) (a : R) : monomial R n a = mk fun m => if m = n then a else 0 :=
ext fun m => by rw [coeff_monomial, coeff_mk]
#align power_series.monomial_eq_mk PowerSeries.monomial_eq_mk
@[simp]
theorem coeff_monomial_same (n : ℕ) (a : R) : coeff R n (monomial R n a) = a :=
MvPowerSeries.coeff_monomial_same _ _
#align power_series.coeff_monomial_same PowerSeries.coeff_monomial_same
@[simp]
theorem coeff_comp_monomial (n : ℕ) : (coeff R n).comp (monomial R n) = LinearMap.id :=
LinearMap.ext <| coeff_monomial_same n
#align power_series.coeff_comp_monomial PowerSeries.coeff_comp_monomial
variable (R)
def constantCoeff : R⟦X⟧ →+* R :=
MvPowerSeries.constantCoeff Unit R
#align power_series.constant_coeff PowerSeries.constantCoeff
def C : R →+* R⟦X⟧ :=
MvPowerSeries.C Unit R
set_option linter.uppercaseLean3 false in
#align power_series.C PowerSeries.C
variable {R}
def X : R⟦X⟧ :=
MvPowerSeries.X ()
set_option linter.uppercaseLean3 false in
#align power_series.X PowerSeries.X
theorem commute_X (φ : R⟦X⟧) : Commute φ X :=
MvPowerSeries.commute_X _ _
set_option linter.uppercaseLean3 false in
#align power_series.commute_X PowerSeries.commute_X
@[simp]
theorem coeff_zero_eq_constantCoeff : ⇑(coeff R 0) = constantCoeff R := by
rw [coeff, Finsupp.single_zero]
rfl
#align power_series.coeff_zero_eq_constant_coeff PowerSeries.coeff_zero_eq_constantCoeff
theorem coeff_zero_eq_constantCoeff_apply (φ : R⟦X⟧) : coeff R 0 φ = constantCoeff R φ := by
rw [coeff_zero_eq_constantCoeff]
#align power_series.coeff_zero_eq_constant_coeff_apply PowerSeries.coeff_zero_eq_constantCoeff_apply
@[simp]
theorem monomial_zero_eq_C : ⇑(monomial R 0) = C R := by
-- This used to be `rw`, but we need `erw` after leanprover/lean4#2644
erw [monomial, Finsupp.single_zero, MvPowerSeries.monomial_zero_eq_C]
set_option linter.uppercaseLean3 false in
#align power_series.monomial_zero_eq_C PowerSeries.monomial_zero_eq_C
theorem monomial_zero_eq_C_apply (a : R) : monomial R 0 a = C R a := by simp
set_option linter.uppercaseLean3 false in
#align power_series.monomial_zero_eq_C_apply PowerSeries.monomial_zero_eq_C_apply
theorem coeff_C (n : ℕ) (a : R) : coeff R n (C R a : R⟦X⟧) = if n = 0 then a else 0 := by
rw [← monomial_zero_eq_C_apply, coeff_monomial]
set_option linter.uppercaseLean3 false in
#align power_series.coeff_C PowerSeries.coeff_C
@[simp]
| Mathlib/RingTheory/PowerSeries/Basic.lean | 255 | 256 | theorem coeff_zero_C (a : R) : coeff R 0 (C R a) = a := by |
rw [coeff_C, if_pos rfl]
|
import Mathlib.Algebra.Polynomial.Eval
#align_import data.polynomial.degree.lemmas from "leanprover-community/mathlib"@"728baa2f54e6062c5879a3e397ac6bac323e506f"
noncomputable section
open Polynomial
open Finsupp Finset
namespace Polynomial
universe u v w
variable {R : Type u} {S : Type v} {ι : Type w} {a b : R} {m n : ℕ}
section Semiring
variable [Semiring R] {p q r : R[X]}
section Degree
theorem natDegree_comp_le : natDegree (p.comp q) ≤ natDegree p * natDegree q :=
letI := Classical.decEq R
if h0 : p.comp q = 0 then by rw [h0, natDegree_zero]; exact Nat.zero_le _
else
WithBot.coe_le_coe.1 <|
calc
↑(natDegree (p.comp q)) = degree (p.comp q) := (degree_eq_natDegree h0).symm
_ = _ := congr_arg degree comp_eq_sum_left
_ ≤ _ := degree_sum_le _ _
_ ≤ _ :=
Finset.sup_le fun n hn =>
calc
degree (C (coeff p n) * q ^ n) ≤ degree (C (coeff p n)) + degree (q ^ n) :=
degree_mul_le _ _
_ ≤ natDegree (C (coeff p n)) + n • degree q :=
(add_le_add degree_le_natDegree (degree_pow_le _ _))
_ ≤ natDegree (C (coeff p n)) + n • ↑(natDegree q) :=
(add_le_add_left (nsmul_le_nsmul_right (@degree_le_natDegree _ _ q) n) _)
_ = (n * natDegree q : ℕ) := by
rw [natDegree_C, Nat.cast_zero, zero_add, nsmul_eq_mul];
simp
_ ≤ (natDegree p * natDegree q : ℕ) :=
WithBot.coe_le_coe.2 <|
mul_le_mul_of_nonneg_right (le_natDegree_of_ne_zero (mem_support_iff.1 hn))
(Nat.zero_le _)
#align polynomial.nat_degree_comp_le Polynomial.natDegree_comp_le
theorem degree_pos_of_root {p : R[X]} (hp : p ≠ 0) (h : IsRoot p a) : 0 < degree p :=
lt_of_not_ge fun hlt => by
have := eq_C_of_degree_le_zero hlt
rw [IsRoot, this, eval_C] at h
simp only [h, RingHom.map_zero] at this
exact hp this
#align polynomial.degree_pos_of_root Polynomial.degree_pos_of_root
theorem natDegree_le_iff_coeff_eq_zero : p.natDegree ≤ n ↔ ∀ N : ℕ, n < N → p.coeff N = 0 := by
simp_rw [natDegree_le_iff_degree_le, degree_le_iff_coeff_zero, Nat.cast_lt]
#align polynomial.nat_degree_le_iff_coeff_eq_zero Polynomial.natDegree_le_iff_coeff_eq_zero
theorem natDegree_add_le_iff_left {n : ℕ} (p q : R[X]) (qn : q.natDegree ≤ n) :
(p + q).natDegree ≤ n ↔ p.natDegree ≤ n := by
refine ⟨fun h => ?_, fun h => natDegree_add_le_of_degree_le h qn⟩
refine natDegree_le_iff_coeff_eq_zero.mpr fun m hm => ?_
convert natDegree_le_iff_coeff_eq_zero.mp h m hm using 1
rw [coeff_add, natDegree_le_iff_coeff_eq_zero.mp qn _ hm, add_zero]
#align polynomial.nat_degree_add_le_iff_left Polynomial.natDegree_add_le_iff_left
theorem natDegree_add_le_iff_right {n : ℕ} (p q : R[X]) (pn : p.natDegree ≤ n) :
(p + q).natDegree ≤ n ↔ q.natDegree ≤ n := by
rw [add_comm]
exact natDegree_add_le_iff_left _ _ pn
#align polynomial.nat_degree_add_le_iff_right Polynomial.natDegree_add_le_iff_right
theorem natDegree_C_mul_le (a : R) (f : R[X]) : (C a * f).natDegree ≤ f.natDegree :=
calc
(C a * f).natDegree ≤ (C a).natDegree + f.natDegree := natDegree_mul_le
_ = 0 + f.natDegree := by rw [natDegree_C a]
_ = f.natDegree := zero_add _
set_option linter.uppercaseLean3 false in
#align polynomial.nat_degree_C_mul_le Polynomial.natDegree_C_mul_le
| Mathlib/Algebra/Polynomial/Degree/Lemmas.lean | 98 | 102 | theorem natDegree_mul_C_le (f : R[X]) (a : R) : (f * C a).natDegree ≤ f.natDegree :=
calc
(f * C a).natDegree ≤ f.natDegree + (C a).natDegree := natDegree_mul_le
_ = f.natDegree + 0 := by | rw [natDegree_C a]
_ = f.natDegree := add_zero _
|
import Mathlib.Algebra.Polynomial.Reverse
import Mathlib.Algebra.Regular.SMul
#align_import data.polynomial.monic from "leanprover-community/mathlib"@"cbdf7b565832144d024caa5a550117c6df0204a5"
noncomputable section
open Finset
open Polynomial
namespace Polynomial
universe u v y
variable {R : Type u} {S : Type v} {a b : R} {m n : ℕ} {ι : Type y}
section Semiring
variable [Semiring R] {p q r : R[X]}
theorem monic_zero_iff_subsingleton : Monic (0 : R[X]) ↔ Subsingleton R :=
subsingleton_iff_zero_eq_one
#align polynomial.monic_zero_iff_subsingleton Polynomial.monic_zero_iff_subsingleton
theorem not_monic_zero_iff : ¬Monic (0 : R[X]) ↔ (0 : R) ≠ 1 :=
(monic_zero_iff_subsingleton.trans subsingleton_iff_zero_eq_one.symm).not
#align polynomial.not_monic_zero_iff Polynomial.not_monic_zero_iff
theorem monic_zero_iff_subsingleton' :
Monic (0 : R[X]) ↔ (∀ f g : R[X], f = g) ∧ ∀ a b : R, a = b :=
Polynomial.monic_zero_iff_subsingleton.trans
⟨by
intro
simp [eq_iff_true_of_subsingleton], fun h => subsingleton_iff.mpr h.2⟩
#align polynomial.monic_zero_iff_subsingleton' Polynomial.monic_zero_iff_subsingleton'
theorem Monic.as_sum (hp : p.Monic) :
p = X ^ p.natDegree + ∑ i ∈ range p.natDegree, C (p.coeff i) * X ^ i := by
conv_lhs => rw [p.as_sum_range_C_mul_X_pow, sum_range_succ_comm]
suffices C (p.coeff p.natDegree) = 1 by rw [this, one_mul]
exact congr_arg C hp
#align polynomial.monic.as_sum Polynomial.Monic.as_sum
theorem ne_zero_of_ne_zero_of_monic (hp : p ≠ 0) (hq : Monic q) : q ≠ 0 := by
rintro rfl
rw [Monic.def, leadingCoeff_zero] at hq
rw [← mul_one p, ← C_1, ← hq, C_0, mul_zero] at hp
exact hp rfl
#align polynomial.ne_zero_of_ne_zero_of_monic Polynomial.ne_zero_of_ne_zero_of_monic
theorem Monic.map [Semiring S] (f : R →+* S) (hp : Monic p) : Monic (p.map f) := by
unfold Monic
nontriviality
have : f p.leadingCoeff ≠ 0 := by
rw [show _ = _ from hp, f.map_one]
exact one_ne_zero
rw [Polynomial.leadingCoeff, coeff_map]
suffices p.coeff (p.map f).natDegree = 1 by simp [this]
rwa [natDegree_eq_of_degree_eq (degree_map_eq_of_leadingCoeff_ne_zero f this)]
#align polynomial.monic.map Polynomial.Monic.map
theorem monic_C_mul_of_mul_leadingCoeff_eq_one {b : R} (hp : b * p.leadingCoeff = 1) :
Monic (C b * p) := by
unfold Monic
nontriviality
rw [leadingCoeff_mul' _] <;> simp [leadingCoeff_C b, hp]
set_option linter.uppercaseLean3 false in
#align polynomial.monic_C_mul_of_mul_leading_coeff_eq_one Polynomial.monic_C_mul_of_mul_leadingCoeff_eq_one
theorem monic_mul_C_of_leadingCoeff_mul_eq_one {b : R} (hp : p.leadingCoeff * b = 1) :
Monic (p * C b) := by
unfold Monic
nontriviality
rw [leadingCoeff_mul' _] <;> simp [leadingCoeff_C b, hp]
set_option linter.uppercaseLean3 false in
#align polynomial.monic_mul_C_of_leading_coeff_mul_eq_one Polynomial.monic_mul_C_of_leadingCoeff_mul_eq_one
theorem monic_of_degree_le (n : ℕ) (H1 : degree p ≤ n) (H2 : coeff p n = 1) : Monic p :=
Decidable.byCases
(fun H : degree p < n => eq_of_zero_eq_one (H2 ▸ (coeff_eq_zero_of_degree_lt H).symm) _ _)
fun H : ¬degree p < n => by
rwa [Monic, Polynomial.leadingCoeff, natDegree, (lt_or_eq_of_le H1).resolve_left H]
#align polynomial.monic_of_degree_le Polynomial.monic_of_degree_le
theorem monic_X_pow_add {n : ℕ} (H : degree p ≤ n) : Monic (X ^ (n + 1) + p) :=
have H1 : degree p < (n + 1 : ℕ) := lt_of_le_of_lt H (WithBot.coe_lt_coe.2 (Nat.lt_succ_self n))
monic_of_degree_le (n + 1)
(le_trans (degree_add_le _ _) (max_le (degree_X_pow_le _) (le_of_lt H1)))
(by rw [coeff_add, coeff_X_pow, if_pos rfl, coeff_eq_zero_of_degree_lt H1, add_zero])
set_option linter.uppercaseLean3 false in
#align polynomial.monic_X_pow_add Polynomial.monic_X_pow_add
variable (a) in
theorem monic_X_pow_add_C {n : ℕ} (h : n ≠ 0) : (X ^ n + C a).Monic := by
obtain ⟨k, rfl⟩ := Nat.exists_eq_succ_of_ne_zero h
exact monic_X_pow_add <| degree_C_le.trans Nat.WithBot.coe_nonneg
theorem monic_X_add_C (x : R) : Monic (X + C x) :=
pow_one (X : R[X]) ▸ monic_X_pow_add_C x one_ne_zero
set_option linter.uppercaseLean3 false in
#align polynomial.monic_X_add_C Polynomial.monic_X_add_C
| Mathlib/Algebra/Polynomial/Monic.lean | 117 | 125 | theorem Monic.mul (hp : Monic p) (hq : Monic q) : Monic (p * q) :=
letI := Classical.decEq R
if h0 : (0 : R) = 1 then
haveI := subsingleton_of_zero_eq_one h0
Subsingleton.elim _ _
else by
have : p.leadingCoeff * q.leadingCoeff ≠ 0 := by |
simp [Monic.def.1 hp, Monic.def.1 hq, Ne.symm h0]
rw [Monic.def, leadingCoeff_mul' this, Monic.def.1 hp, Monic.def.1 hq, one_mul]
|
import Mathlib.RingTheory.FractionalIdeal.Basic
import Mathlib.RingTheory.Ideal.Norm
namespace FractionalIdeal
open scoped Pointwise nonZeroDivisors
variable {R : Type*} [CommRing R] [IsDedekindDomain R] [Module.Free ℤ R] [Module.Finite ℤ R]
variable {K : Type*} [CommRing K] [Algebra R K] [IsFractionRing R K]
theorem absNorm_div_norm_eq_absNorm_div_norm {I : FractionalIdeal R⁰ K} (a : R⁰) (I₀ : Ideal R)
(h : a • (I : Submodule R K) = Submodule.map (Algebra.linearMap R K) I₀) :
(Ideal.absNorm I.num : ℚ) / |Algebra.norm ℤ (I.den:R)| =
(Ideal.absNorm I₀ : ℚ) / |Algebra.norm ℤ (a:R)| := by
rw [div_eq_div_iff]
· replace h := congr_arg (I.den • ·) h
have h' := congr_arg (a • ·) (den_mul_self_eq_num I)
dsimp only at h h'
rw [smul_comm] at h
rw [h, Submonoid.smul_def, Submonoid.smul_def, ← Submodule.ideal_span_singleton_smul,
← Submodule.ideal_span_singleton_smul, ← Submodule.map_smul'', ← Submodule.map_smul'',
(LinearMap.map_injective ?_).eq_iff, smul_eq_mul, smul_eq_mul] at h'
· simp_rw [← Int.cast_natAbs, ← Nat.cast_mul, ← Ideal.absNorm_span_singleton]
rw [← _root_.map_mul, ← _root_.map_mul, mul_comm, ← h', mul_comm]
· exact LinearMap.ker_eq_bot.mpr (IsFractionRing.injective R K)
all_goals simpa [Algebra.norm_eq_zero_iff] using nonZeroDivisors.coe_ne_zero _
noncomputable def absNorm : FractionalIdeal R⁰ K →*₀ ℚ where
toFun I := (Ideal.absNorm I.num : ℚ) / |Algebra.norm ℤ (I.den : R)|
map_zero' := by
dsimp only
rw [num_zero_eq, Submodule.zero_eq_bot, Ideal.absNorm_bot, Nat.cast_zero, zero_div]
exact IsFractionRing.injective R K
map_one' := by
dsimp only
rw [absNorm_div_norm_eq_absNorm_div_norm 1 ⊤ (by simp [Submodule.one_eq_range]),
Ideal.absNorm_top, Nat.cast_one, OneMemClass.coe_one, _root_.map_one, abs_one, Int.cast_one,
one_div_one]
map_mul' I J := by
dsimp only
rw [absNorm_div_norm_eq_absNorm_div_norm (I.den * J.den) (I.num * J.num) (by
have : Algebra.linearMap R K = (IsScalarTower.toAlgHom R R K).toLinearMap := rfl
rw [coe_mul, this, Submodule.map_mul, ← this, ← den_mul_self_eq_num, ← den_mul_self_eq_num]
exact Submodule.mul_smul_mul_eq_smul_mul_smul _ _ _ _),
Submonoid.coe_mul, _root_.map_mul, _root_.map_mul, Nat.cast_mul, div_mul_div_comm,
Int.cast_abs, Int.cast_abs, Int.cast_abs, ← abs_mul, Int.cast_mul]
theorem absNorm_eq (I : FractionalIdeal R⁰ K) :
absNorm I = (Ideal.absNorm I.num : ℚ) / |Algebra.norm ℤ (I.den : R)| := rfl
theorem absNorm_eq' {I : FractionalIdeal R⁰ K} (a : R⁰) (I₀ : Ideal R)
(h : a • (I : Submodule R K) = Submodule.map (Algebra.linearMap R K) I₀) :
absNorm I = (Ideal.absNorm I₀ : ℚ) / |Algebra.norm ℤ (a:R)| := by
rw [absNorm, ← absNorm_div_norm_eq_absNorm_div_norm a I₀ h, MonoidWithZeroHom.coe_mk,
ZeroHom.coe_mk]
theorem absNorm_nonneg (I : FractionalIdeal R⁰ K) : 0 ≤ absNorm I := by dsimp [absNorm]; positivity
theorem absNorm_bot : absNorm (⊥ : FractionalIdeal R⁰ K) = 0 := absNorm.map_zero'
theorem absNorm_one : absNorm (1 : FractionalIdeal R⁰ K) = 1 := by convert absNorm.map_one'
theorem absNorm_eq_zero_iff [NoZeroDivisors K] {I : FractionalIdeal R⁰ K} :
absNorm I = 0 ↔ I = 0 := by
refine ⟨fun h ↦ zero_of_num_eq_bot zero_not_mem_nonZeroDivisors ?_, fun h ↦ h ▸ absNorm_bot⟩
rw [absNorm_eq, div_eq_zero_iff] at h
refine Ideal.absNorm_eq_zero_iff.mp <| Nat.cast_eq_zero.mp <| h.resolve_right ?_
simpa [Algebra.norm_eq_zero_iff] using nonZeroDivisors.coe_ne_zero _
theorem coeIdeal_absNorm (I₀ : Ideal R) :
absNorm (I₀ : FractionalIdeal R⁰ K) = Ideal.absNorm I₀ := by
rw [absNorm_eq' 1 I₀ (by rw [one_smul]; rfl), OneMemClass.coe_one, _root_.map_one, abs_one,
Int.cast_one, _root_.div_one]
section IsLocalization
variable [IsLocalization (Algebra.algebraMapSubmonoid R ℤ⁰) K] [Algebra ℚ K]
| Mathlib/RingTheory/FractionalIdeal/Norm.lean | 106 | 128 | theorem abs_det_basis_change [NoZeroDivisors K] {ι : Type*} [Fintype ι]
[DecidableEq ι] (b : Basis ι ℤ R) (I : FractionalIdeal R⁰ K) (bI : Basis ι ℤ I) :
|(b.localizationLocalization ℚ ℤ⁰ K).det ((↑) ∘ bI)| = absNorm I := by |
have := IsFractionRing.nontrivial R K
let b₀ : Basis ι ℚ K := b.localizationLocalization ℚ ℤ⁰ K
let bI.num : Basis ι ℤ I.num := bI.map
((equivNum (nonZeroDivisors.coe_ne_zero _)).restrictScalars ℤ)
rw [absNorm_eq, ← Ideal.natAbs_det_basis_change b I.num bI.num, Int.cast_natAbs, Int.cast_abs,
Int.cast_abs, Basis.det_apply, Basis.det_apply]
change _ = |algebraMap ℤ ℚ _| / _
rw [RingHom.map_det, show RingHom.mapMatrix (algebraMap ℤ ℚ) (b.toMatrix ((↑) ∘ bI.num)) =
b₀.toMatrix ((algebraMap R K (den I : R)) • ((↑) ∘ bI)) by
ext : 2
simp_rw [bI.num, RingHom.mapMatrix_apply, Matrix.map_apply, Basis.toMatrix_apply,
← Basis.localizationLocalization_repr_algebraMap ℚ ℤ⁰ K, Function.comp_apply,
Basis.map_apply, LinearEquiv.restrictScalars_apply, equivNum_apply, Submonoid.smul_def,
Algebra.smul_def]
rfl]
rw [Basis.toMatrix_smul, Matrix.det_mul, abs_mul, ← Algebra.norm_eq_matrix_det,
Algebra.norm_localization ℤ ℤ⁰, show (Algebra.norm ℤ (den I: R) : ℚ) =
algebraMap ℤ ℚ (Algebra.norm ℤ (den I: R)) by rfl, mul_div_assoc, mul_div_cancel₀ _ (by
rw [ne_eq, abs_eq_zero, IsFractionRing.to_map_eq_zero_iff, Algebra.norm_eq_zero_iff_of_basis b]
exact nonZeroDivisors.coe_ne_zero _)]
|
import Mathlib.Order.Filter.Lift
import Mathlib.Topology.Defs.Filter
#align_import topology.basic from "leanprover-community/mathlib"@"e354e865255654389cc46e6032160238df2e0f40"
noncomputable section
open Set Filter
universe u v w x
def TopologicalSpace.ofClosed {X : Type u} (T : Set (Set X)) (empty_mem : ∅ ∈ T)
(sInter_mem : ∀ A, A ⊆ T → ⋂₀ A ∈ T)
(union_mem : ∀ A, A ∈ T → ∀ B, B ∈ T → A ∪ B ∈ T) : TopologicalSpace X where
IsOpen X := Xᶜ ∈ T
isOpen_univ := by simp [empty_mem]
isOpen_inter s t hs ht := by simpa only [compl_inter] using union_mem sᶜ hs tᶜ ht
isOpen_sUnion s hs := by
simp only [Set.compl_sUnion]
exact sInter_mem (compl '' s) fun z ⟨y, hy, hz⟩ => hz ▸ hs y hy
#align topological_space.of_closed TopologicalSpace.ofClosed
section TopologicalSpace
variable {X : Type u} {Y : Type v} {ι : Sort w} {α β : Type*}
{x : X} {s s₁ s₂ t : Set X} {p p₁ p₂ : X → Prop}
open Topology
lemma isOpen_mk {p h₁ h₂ h₃} : IsOpen[⟨p, h₁, h₂, h₃⟩] s ↔ p s := Iff.rfl
#align is_open_mk isOpen_mk
@[ext]
protected theorem TopologicalSpace.ext :
∀ {f g : TopologicalSpace X}, IsOpen[f] = IsOpen[g] → f = g
| ⟨_, _, _, _⟩, ⟨_, _, _, _⟩, rfl => rfl
#align topological_space_eq TopologicalSpace.ext
section
variable [TopologicalSpace X]
end
protected theorem TopologicalSpace.ext_iff {t t' : TopologicalSpace X} :
t = t' ↔ ∀ s, IsOpen[t] s ↔ IsOpen[t'] s :=
⟨fun h s => h ▸ Iff.rfl, fun h => by ext; exact h _⟩
#align topological_space_eq_iff TopologicalSpace.ext_iff
theorem isOpen_fold {t : TopologicalSpace X} : t.IsOpen s = IsOpen[t] s :=
rfl
#align is_open_fold isOpen_fold
variable [TopologicalSpace X]
theorem isOpen_iUnion {f : ι → Set X} (h : ∀ i, IsOpen (f i)) : IsOpen (⋃ i, f i) :=
isOpen_sUnion (forall_mem_range.2 h)
#align is_open_Union isOpen_iUnion
theorem isOpen_biUnion {s : Set α} {f : α → Set X} (h : ∀ i ∈ s, IsOpen (f i)) :
IsOpen (⋃ i ∈ s, f i) :=
isOpen_iUnion fun i => isOpen_iUnion fun hi => h i hi
#align is_open_bUnion isOpen_biUnion
theorem IsOpen.union (h₁ : IsOpen s₁) (h₂ : IsOpen s₂) : IsOpen (s₁ ∪ s₂) := by
rw [union_eq_iUnion]; exact isOpen_iUnion (Bool.forall_bool.2 ⟨h₂, h₁⟩)
#align is_open.union IsOpen.union
lemma isOpen_iff_of_cover {f : α → Set X} (ho : ∀ i, IsOpen (f i)) (hU : (⋃ i, f i) = univ) :
IsOpen s ↔ ∀ i, IsOpen (f i ∩ s) := by
refine ⟨fun h i ↦ (ho i).inter h, fun h ↦ ?_⟩
rw [← s.inter_univ, inter_comm, ← hU, iUnion_inter]
exact isOpen_iUnion fun i ↦ h i
@[simp] theorem isOpen_empty : IsOpen (∅ : Set X) := by
rw [← sUnion_empty]; exact isOpen_sUnion fun a => False.elim
#align is_open_empty isOpen_empty
theorem Set.Finite.isOpen_sInter {s : Set (Set X)} (hs : s.Finite) :
(∀ t ∈ s, IsOpen t) → IsOpen (⋂₀ s) :=
Finite.induction_on hs (fun _ => by rw [sInter_empty]; exact isOpen_univ) fun _ _ ih h => by
simp only [sInter_insert, forall_mem_insert] at h ⊢
exact h.1.inter (ih h.2)
#align is_open_sInter Set.Finite.isOpen_sInter
theorem Set.Finite.isOpen_biInter {s : Set α} {f : α → Set X} (hs : s.Finite)
(h : ∀ i ∈ s, IsOpen (f i)) :
IsOpen (⋂ i ∈ s, f i) :=
sInter_image f s ▸ (hs.image _).isOpen_sInter (forall_mem_image.2 h)
#align is_open_bInter Set.Finite.isOpen_biInter
theorem isOpen_iInter_of_finite [Finite ι] {s : ι → Set X} (h : ∀ i, IsOpen (s i)) :
IsOpen (⋂ i, s i) :=
(finite_range _).isOpen_sInter (forall_mem_range.2 h)
#align is_open_Inter isOpen_iInter_of_finite
theorem isOpen_biInter_finset {s : Finset α} {f : α → Set X} (h : ∀ i ∈ s, IsOpen (f i)) :
IsOpen (⋂ i ∈ s, f i) :=
s.finite_toSet.isOpen_biInter h
#align is_open_bInter_finset isOpen_biInter_finset
@[simp] -- Porting note: added `simp`
theorem isOpen_const {p : Prop} : IsOpen { _x : X | p } := by by_cases p <;> simp [*]
#align is_open_const isOpen_const
theorem IsOpen.and : IsOpen { x | p₁ x } → IsOpen { x | p₂ x } → IsOpen { x | p₁ x ∧ p₂ x } :=
IsOpen.inter
#align is_open.and IsOpen.and
@[simp] theorem isOpen_compl_iff : IsOpen sᶜ ↔ IsClosed s :=
⟨fun h => ⟨h⟩, fun h => h.isOpen_compl⟩
#align is_open_compl_iff isOpen_compl_iff
theorem TopologicalSpace.ext_iff_isClosed {t₁ t₂ : TopologicalSpace X} :
t₁ = t₂ ↔ ∀ s, IsClosed[t₁] s ↔ IsClosed[t₂] s := by
rw [TopologicalSpace.ext_iff, compl_surjective.forall]
simp only [@isOpen_compl_iff _ _ t₁, @isOpen_compl_iff _ _ t₂]
alias ⟨_, TopologicalSpace.ext_isClosed⟩ := TopologicalSpace.ext_iff_isClosed
-- Porting note (#10756): new lemma
theorem isClosed_const {p : Prop} : IsClosed { _x : X | p } := ⟨isOpen_const (p := ¬p)⟩
@[simp] theorem isClosed_empty : IsClosed (∅ : Set X) := isClosed_const
#align is_closed_empty isClosed_empty
@[simp] theorem isClosed_univ : IsClosed (univ : Set X) := isClosed_const
#align is_closed_univ isClosed_univ
theorem IsClosed.union : IsClosed s₁ → IsClosed s₂ → IsClosed (s₁ ∪ s₂) := by
simpa only [← isOpen_compl_iff, compl_union] using IsOpen.inter
#align is_closed.union IsClosed.union
theorem isClosed_sInter {s : Set (Set X)} : (∀ t ∈ s, IsClosed t) → IsClosed (⋂₀ s) := by
simpa only [← isOpen_compl_iff, compl_sInter, sUnion_image] using isOpen_biUnion
#align is_closed_sInter isClosed_sInter
theorem isClosed_iInter {f : ι → Set X} (h : ∀ i, IsClosed (f i)) : IsClosed (⋂ i, f i) :=
isClosed_sInter <| forall_mem_range.2 h
#align is_closed_Inter isClosed_iInter
theorem isClosed_biInter {s : Set α} {f : α → Set X} (h : ∀ i ∈ s, IsClosed (f i)) :
IsClosed (⋂ i ∈ s, f i) :=
isClosed_iInter fun i => isClosed_iInter <| h i
#align is_closed_bInter isClosed_biInter
@[simp]
theorem isClosed_compl_iff {s : Set X} : IsClosed sᶜ ↔ IsOpen s := by
rw [← isOpen_compl_iff, compl_compl]
#align is_closed_compl_iff isClosed_compl_iff
alias ⟨_, IsOpen.isClosed_compl⟩ := isClosed_compl_iff
#align is_open.is_closed_compl IsOpen.isClosed_compl
theorem IsOpen.sdiff (h₁ : IsOpen s) (h₂ : IsClosed t) : IsOpen (s \ t) :=
IsOpen.inter h₁ h₂.isOpen_compl
#align is_open.sdiff IsOpen.sdiff
theorem IsClosed.inter (h₁ : IsClosed s₁) (h₂ : IsClosed s₂) : IsClosed (s₁ ∩ s₂) := by
rw [← isOpen_compl_iff] at *
rw [compl_inter]
exact IsOpen.union h₁ h₂
#align is_closed.inter IsClosed.inter
theorem IsClosed.sdiff (h₁ : IsClosed s) (h₂ : IsOpen t) : IsClosed (s \ t) :=
IsClosed.inter h₁ (isClosed_compl_iff.mpr h₂)
#align is_closed.sdiff IsClosed.sdiff
theorem Set.Finite.isClosed_biUnion {s : Set α} {f : α → Set X} (hs : s.Finite)
(h : ∀ i ∈ s, IsClosed (f i)) :
IsClosed (⋃ i ∈ s, f i) := by
simp only [← isOpen_compl_iff, compl_iUnion] at *
exact hs.isOpen_biInter h
#align is_closed_bUnion Set.Finite.isClosed_biUnion
lemma isClosed_biUnion_finset {s : Finset α} {f : α → Set X} (h : ∀ i ∈ s, IsClosed (f i)) :
IsClosed (⋃ i ∈ s, f i) :=
s.finite_toSet.isClosed_biUnion h
theorem isClosed_iUnion_of_finite [Finite ι] {s : ι → Set X} (h : ∀ i, IsClosed (s i)) :
IsClosed (⋃ i, s i) := by
simp only [← isOpen_compl_iff, compl_iUnion] at *
exact isOpen_iInter_of_finite h
#align is_closed_Union isClosed_iUnion_of_finite
theorem isClosed_imp {p q : X → Prop} (hp : IsOpen { x | p x }) (hq : IsClosed { x | q x }) :
IsClosed { x | p x → q x } := by
simpa only [imp_iff_not_or] using hp.isClosed_compl.union hq
#align is_closed_imp isClosed_imp
theorem IsClosed.not : IsClosed { a | p a } → IsOpen { a | ¬p a } :=
isOpen_compl_iff.mpr
#align is_closed.not IsClosed.not
theorem mem_interior : x ∈ interior s ↔ ∃ t ⊆ s, IsOpen t ∧ x ∈ t := by
simp only [interior, mem_sUnion, mem_setOf_eq, and_assoc, and_left_comm]
#align mem_interior mem_interiorₓ
@[simp]
theorem isOpen_interior : IsOpen (interior s) :=
isOpen_sUnion fun _ => And.left
#align is_open_interior isOpen_interior
theorem interior_subset : interior s ⊆ s :=
sUnion_subset fun _ => And.right
#align interior_subset interior_subset
theorem interior_maximal (h₁ : t ⊆ s) (h₂ : IsOpen t) : t ⊆ interior s :=
subset_sUnion_of_mem ⟨h₂, h₁⟩
#align interior_maximal interior_maximal
theorem IsOpen.interior_eq (h : IsOpen s) : interior s = s :=
interior_subset.antisymm (interior_maximal (Subset.refl s) h)
#align is_open.interior_eq IsOpen.interior_eq
theorem interior_eq_iff_isOpen : interior s = s ↔ IsOpen s :=
⟨fun h => h ▸ isOpen_interior, IsOpen.interior_eq⟩
#align interior_eq_iff_is_open interior_eq_iff_isOpen
theorem subset_interior_iff_isOpen : s ⊆ interior s ↔ IsOpen s := by
simp only [interior_eq_iff_isOpen.symm, Subset.antisymm_iff, interior_subset, true_and]
#align subset_interior_iff_is_open subset_interior_iff_isOpen
theorem IsOpen.subset_interior_iff (h₁ : IsOpen s) : s ⊆ interior t ↔ s ⊆ t :=
⟨fun h => Subset.trans h interior_subset, fun h₂ => interior_maximal h₂ h₁⟩
#align is_open.subset_interior_iff IsOpen.subset_interior_iff
theorem subset_interior_iff : t ⊆ interior s ↔ ∃ U, IsOpen U ∧ t ⊆ U ∧ U ⊆ s :=
⟨fun h => ⟨interior s, isOpen_interior, h, interior_subset⟩, fun ⟨_U, hU, htU, hUs⟩ =>
htU.trans (interior_maximal hUs hU)⟩
#align subset_interior_iff subset_interior_iff
lemma interior_subset_iff : interior s ⊆ t ↔ ∀ U, IsOpen U → U ⊆ s → U ⊆ t := by
simp [interior]
@[mono, gcongr]
theorem interior_mono (h : s ⊆ t) : interior s ⊆ interior t :=
interior_maximal (Subset.trans interior_subset h) isOpen_interior
#align interior_mono interior_mono
@[simp]
theorem interior_empty : interior (∅ : Set X) = ∅ :=
isOpen_empty.interior_eq
#align interior_empty interior_empty
@[simp]
theorem interior_univ : interior (univ : Set X) = univ :=
isOpen_univ.interior_eq
#align interior_univ interior_univ
@[simp]
theorem interior_eq_univ : interior s = univ ↔ s = univ :=
⟨fun h => univ_subset_iff.mp <| h.symm.trans_le interior_subset, fun h => h.symm ▸ interior_univ⟩
#align interior_eq_univ interior_eq_univ
@[simp]
theorem interior_interior : interior (interior s) = interior s :=
isOpen_interior.interior_eq
#align interior_interior interior_interior
@[simp]
theorem interior_inter : interior (s ∩ t) = interior s ∩ interior t :=
(Monotone.map_inf_le (fun _ _ ↦ interior_mono) s t).antisymm <|
interior_maximal (inter_subset_inter interior_subset interior_subset) <|
isOpen_interior.inter isOpen_interior
#align interior_inter interior_inter
theorem Set.Finite.interior_biInter {ι : Type*} {s : Set ι} (hs : s.Finite) (f : ι → Set X) :
interior (⋂ i ∈ s, f i) = ⋂ i ∈ s, interior (f i) :=
hs.induction_on (by simp) <| by intros; simp [*]
theorem Set.Finite.interior_sInter {S : Set (Set X)} (hS : S.Finite) :
interior (⋂₀ S) = ⋂ s ∈ S, interior s := by
rw [sInter_eq_biInter, hS.interior_biInter]
@[simp]
theorem Finset.interior_iInter {ι : Type*} (s : Finset ι) (f : ι → Set X) :
interior (⋂ i ∈ s, f i) = ⋂ i ∈ s, interior (f i) :=
s.finite_toSet.interior_biInter f
#align finset.interior_Inter Finset.interior_iInter
@[simp]
theorem interior_iInter_of_finite [Finite ι] (f : ι → Set X) :
interior (⋂ i, f i) = ⋂ i, interior (f i) := by
rw [← sInter_range, (finite_range f).interior_sInter, biInter_range]
#align interior_Inter interior_iInter_of_finite
theorem interior_union_isClosed_of_interior_empty (h₁ : IsClosed s)
(h₂ : interior t = ∅) : interior (s ∪ t) = interior s :=
have : interior (s ∪ t) ⊆ s := fun x ⟨u, ⟨(hu₁ : IsOpen u), (hu₂ : u ⊆ s ∪ t)⟩, (hx₁ : x ∈ u)⟩ =>
by_contradiction fun hx₂ : x ∉ s =>
have : u \ s ⊆ t := fun x ⟨h₁, h₂⟩ => Or.resolve_left (hu₂ h₁) h₂
have : u \ s ⊆ interior t := by rwa [(IsOpen.sdiff hu₁ h₁).subset_interior_iff]
have : u \ s ⊆ ∅ := by rwa [h₂] at this
this ⟨hx₁, hx₂⟩
Subset.antisymm (interior_maximal this isOpen_interior) (interior_mono subset_union_left)
#align interior_union_is_closed_of_interior_empty interior_union_isClosed_of_interior_empty
theorem isOpen_iff_forall_mem_open : IsOpen s ↔ ∀ x ∈ s, ∃ t, t ⊆ s ∧ IsOpen t ∧ x ∈ t := by
rw [← subset_interior_iff_isOpen]
simp only [subset_def, mem_interior]
#align is_open_iff_forall_mem_open isOpen_iff_forall_mem_open
theorem interior_iInter_subset (s : ι → Set X) : interior (⋂ i, s i) ⊆ ⋂ i, interior (s i) :=
subset_iInter fun _ => interior_mono <| iInter_subset _ _
#align interior_Inter_subset interior_iInter_subset
theorem interior_iInter₂_subset (p : ι → Sort*) (s : ∀ i, p i → Set X) :
interior (⋂ (i) (j), s i j) ⊆ ⋂ (i) (j), interior (s i j) :=
(interior_iInter_subset _).trans <| iInter_mono fun _ => interior_iInter_subset _
#align interior_Inter₂_subset interior_iInter₂_subset
theorem interior_sInter_subset (S : Set (Set X)) : interior (⋂₀ S) ⊆ ⋂ s ∈ S, interior s :=
calc
interior (⋂₀ S) = interior (⋂ s ∈ S, s) := by rw [sInter_eq_biInter]
_ ⊆ ⋂ s ∈ S, interior s := interior_iInter₂_subset _ _
#align interior_sInter_subset interior_sInter_subset
theorem Filter.HasBasis.lift'_interior {l : Filter X} {p : ι → Prop} {s : ι → Set X}
(h : l.HasBasis p s) : (l.lift' interior).HasBasis p fun i => interior (s i) :=
h.lift' fun _ _ ↦ interior_mono
theorem Filter.lift'_interior_le (l : Filter X) : l.lift' interior ≤ l := fun _s hs ↦
mem_of_superset (mem_lift' hs) interior_subset
theorem Filter.HasBasis.lift'_interior_eq_self {l : Filter X} {p : ι → Prop} {s : ι → Set X}
(h : l.HasBasis p s) (ho : ∀ i, p i → IsOpen (s i)) : l.lift' interior = l :=
le_antisymm l.lift'_interior_le <| h.lift'_interior.ge_iff.2 fun i hi ↦ by
simpa only [(ho i hi).interior_eq] using h.mem_of_mem hi
@[simp]
theorem isClosed_closure : IsClosed (closure s) :=
isClosed_sInter fun _ => And.left
#align is_closed_closure isClosed_closure
theorem subset_closure : s ⊆ closure s :=
subset_sInter fun _ => And.right
#align subset_closure subset_closure
theorem not_mem_of_not_mem_closure {P : X} (hP : P ∉ closure s) : P ∉ s := fun h =>
hP (subset_closure h)
#align not_mem_of_not_mem_closure not_mem_of_not_mem_closure
theorem closure_minimal (h₁ : s ⊆ t) (h₂ : IsClosed t) : closure s ⊆ t :=
sInter_subset_of_mem ⟨h₂, h₁⟩
#align closure_minimal closure_minimal
theorem Disjoint.closure_left (hd : Disjoint s t) (ht : IsOpen t) :
Disjoint (closure s) t :=
disjoint_compl_left.mono_left <| closure_minimal hd.subset_compl_right ht.isClosed_compl
#align disjoint.closure_left Disjoint.closure_left
theorem Disjoint.closure_right (hd : Disjoint s t) (hs : IsOpen s) :
Disjoint s (closure t) :=
(hd.symm.closure_left hs).symm
#align disjoint.closure_right Disjoint.closure_right
theorem IsClosed.closure_eq (h : IsClosed s) : closure s = s :=
Subset.antisymm (closure_minimal (Subset.refl s) h) subset_closure
#align is_closed.closure_eq IsClosed.closure_eq
theorem IsClosed.closure_subset (hs : IsClosed s) : closure s ⊆ s :=
closure_minimal (Subset.refl _) hs
#align is_closed.closure_subset IsClosed.closure_subset
theorem IsClosed.closure_subset_iff (h₁ : IsClosed t) : closure s ⊆ t ↔ s ⊆ t :=
⟨Subset.trans subset_closure, fun h => closure_minimal h h₁⟩
#align is_closed.closure_subset_iff IsClosed.closure_subset_iff
theorem IsClosed.mem_iff_closure_subset (hs : IsClosed s) :
x ∈ s ↔ closure ({x} : Set X) ⊆ s :=
(hs.closure_subset_iff.trans Set.singleton_subset_iff).symm
#align is_closed.mem_iff_closure_subset IsClosed.mem_iff_closure_subset
@[mono, gcongr]
theorem closure_mono (h : s ⊆ t) : closure s ⊆ closure t :=
closure_minimal (Subset.trans h subset_closure) isClosed_closure
#align closure_mono closure_mono
theorem monotone_closure (X : Type*) [TopologicalSpace X] : Monotone (@closure X _) := fun _ _ =>
closure_mono
#align monotone_closure monotone_closure
theorem diff_subset_closure_iff : s \ t ⊆ closure t ↔ s ⊆ closure t := by
rw [diff_subset_iff, union_eq_self_of_subset_left subset_closure]
#align diff_subset_closure_iff diff_subset_closure_iff
theorem closure_inter_subset_inter_closure (s t : Set X) :
closure (s ∩ t) ⊆ closure s ∩ closure t :=
(monotone_closure X).map_inf_le s t
#align closure_inter_subset_inter_closure closure_inter_subset_inter_closure
theorem isClosed_of_closure_subset (h : closure s ⊆ s) : IsClosed s := by
rw [subset_closure.antisymm h]; exact isClosed_closure
#align is_closed_of_closure_subset isClosed_of_closure_subset
theorem closure_eq_iff_isClosed : closure s = s ↔ IsClosed s :=
⟨fun h => h ▸ isClosed_closure, IsClosed.closure_eq⟩
#align closure_eq_iff_is_closed closure_eq_iff_isClosed
theorem closure_subset_iff_isClosed : closure s ⊆ s ↔ IsClosed s :=
⟨isClosed_of_closure_subset, IsClosed.closure_subset⟩
#align closure_subset_iff_is_closed closure_subset_iff_isClosed
@[simp]
theorem closure_empty : closure (∅ : Set X) = ∅ :=
isClosed_empty.closure_eq
#align closure_empty closure_empty
@[simp]
theorem closure_empty_iff (s : Set X) : closure s = ∅ ↔ s = ∅ :=
⟨subset_eq_empty subset_closure, fun h => h.symm ▸ closure_empty⟩
#align closure_empty_iff closure_empty_iff
@[simp]
theorem closure_nonempty_iff : (closure s).Nonempty ↔ s.Nonempty := by
simp only [nonempty_iff_ne_empty, Ne, closure_empty_iff]
#align closure_nonempty_iff closure_nonempty_iff
alias ⟨Set.Nonempty.of_closure, Set.Nonempty.closure⟩ := closure_nonempty_iff
#align set.nonempty.of_closure Set.Nonempty.of_closure
#align set.nonempty.closure Set.Nonempty.closure
@[simp]
theorem closure_univ : closure (univ : Set X) = univ :=
isClosed_univ.closure_eq
#align closure_univ closure_univ
@[simp]
theorem closure_closure : closure (closure s) = closure s :=
isClosed_closure.closure_eq
#align closure_closure closure_closure
theorem closure_eq_compl_interior_compl : closure s = (interior sᶜ)ᶜ := by
rw [interior, closure, compl_sUnion, compl_image_set_of]
simp only [compl_subset_compl, isOpen_compl_iff]
#align closure_eq_compl_interior_compl closure_eq_compl_interior_compl
@[simp]
theorem closure_union : closure (s ∪ t) = closure s ∪ closure t := by
simp [closure_eq_compl_interior_compl, compl_inter]
#align closure_union closure_union
theorem Set.Finite.closure_biUnion {ι : Type*} {s : Set ι} (hs : s.Finite) (f : ι → Set X) :
closure (⋃ i ∈ s, f i) = ⋃ i ∈ s, closure (f i) := by
simp [closure_eq_compl_interior_compl, hs.interior_biInter]
theorem Set.Finite.closure_sUnion {S : Set (Set X)} (hS : S.Finite) :
closure (⋃₀ S) = ⋃ s ∈ S, closure s := by
rw [sUnion_eq_biUnion, hS.closure_biUnion]
@[simp]
theorem Finset.closure_biUnion {ι : Type*} (s : Finset ι) (f : ι → Set X) :
closure (⋃ i ∈ s, f i) = ⋃ i ∈ s, closure (f i) :=
s.finite_toSet.closure_biUnion f
#align finset.closure_bUnion Finset.closure_biUnion
@[simp]
theorem closure_iUnion_of_finite [Finite ι] (f : ι → Set X) :
closure (⋃ i, f i) = ⋃ i, closure (f i) := by
rw [← sUnion_range, (finite_range _).closure_sUnion, biUnion_range]
#align closure_Union closure_iUnion_of_finite
theorem interior_subset_closure : interior s ⊆ closure s :=
Subset.trans interior_subset subset_closure
#align interior_subset_closure interior_subset_closure
@[simp]
theorem interior_compl : interior sᶜ = (closure s)ᶜ := by
simp [closure_eq_compl_interior_compl]
#align interior_compl interior_compl
@[simp]
theorem closure_compl : closure sᶜ = (interior s)ᶜ := by
simp [closure_eq_compl_interior_compl]
#align closure_compl closure_compl
theorem mem_closure_iff :
x ∈ closure s ↔ ∀ o, IsOpen o → x ∈ o → (o ∩ s).Nonempty :=
⟨fun h o oo ao =>
by_contradiction fun os =>
have : s ⊆ oᶜ := fun x xs xo => os ⟨x, xo, xs⟩
closure_minimal this (isClosed_compl_iff.2 oo) h ao,
fun H _ ⟨h₁, h₂⟩ =>
by_contradiction fun nc =>
let ⟨_, hc, hs⟩ := H _ h₁.isOpen_compl nc
hc (h₂ hs)⟩
#align mem_closure_iff mem_closure_iff
theorem closure_inter_open_nonempty_iff (h : IsOpen t) :
(closure s ∩ t).Nonempty ↔ (s ∩ t).Nonempty :=
⟨fun ⟨_x, hxcs, hxt⟩ => inter_comm t s ▸ mem_closure_iff.1 hxcs t h hxt, fun h =>
h.mono <| inf_le_inf_right t subset_closure⟩
#align closure_inter_open_nonempty_iff closure_inter_open_nonempty_iff
theorem Filter.le_lift'_closure (l : Filter X) : l ≤ l.lift' closure :=
le_lift'.2 fun _ h => mem_of_superset h subset_closure
#align filter.le_lift'_closure Filter.le_lift'_closure
theorem Filter.HasBasis.lift'_closure {l : Filter X} {p : ι → Prop} {s : ι → Set X}
(h : l.HasBasis p s) : (l.lift' closure).HasBasis p fun i => closure (s i) :=
h.lift' (monotone_closure X)
#align filter.has_basis.lift'_closure Filter.HasBasis.lift'_closure
theorem Filter.HasBasis.lift'_closure_eq_self {l : Filter X} {p : ι → Prop} {s : ι → Set X}
(h : l.HasBasis p s) (hc : ∀ i, p i → IsClosed (s i)) : l.lift' closure = l :=
le_antisymm (h.ge_iff.2 fun i hi => (hc i hi).closure_eq ▸ mem_lift' (h.mem_of_mem hi))
l.le_lift'_closure
#align filter.has_basis.lift'_closure_eq_self Filter.HasBasis.lift'_closure_eq_self
@[simp]
theorem Filter.lift'_closure_eq_bot {l : Filter X} : l.lift' closure = ⊥ ↔ l = ⊥ :=
⟨fun h => bot_unique <| h ▸ l.le_lift'_closure, fun h =>
h.symm ▸ by rw [lift'_bot (monotone_closure _), closure_empty, principal_empty]⟩
#align filter.lift'_closure_eq_bot Filter.lift'_closure_eq_bot
theorem dense_iff_closure_eq : Dense s ↔ closure s = univ :=
eq_univ_iff_forall.symm
#align dense_iff_closure_eq dense_iff_closure_eq
alias ⟨Dense.closure_eq, _⟩ := dense_iff_closure_eq
#align dense.closure_eq Dense.closure_eq
theorem interior_eq_empty_iff_dense_compl : interior s = ∅ ↔ Dense sᶜ := by
rw [dense_iff_closure_eq, closure_compl, compl_univ_iff]
#align interior_eq_empty_iff_dense_compl interior_eq_empty_iff_dense_compl
theorem Dense.interior_compl (h : Dense s) : interior sᶜ = ∅ :=
interior_eq_empty_iff_dense_compl.2 <| by rwa [compl_compl]
#align dense.interior_compl Dense.interior_compl
@[simp]
theorem dense_closure : Dense (closure s) ↔ Dense s := by
rw [Dense, Dense, closure_closure]
#align dense_closure dense_closure
protected alias ⟨_, Dense.closure⟩ := dense_closure
alias ⟨Dense.of_closure, _⟩ := dense_closure
#align dense.of_closure Dense.of_closure
#align dense.closure Dense.closure
@[simp]
theorem dense_univ : Dense (univ : Set X) := fun _ => subset_closure trivial
#align dense_univ dense_univ
theorem dense_iff_inter_open :
Dense s ↔ ∀ U, IsOpen U → U.Nonempty → (U ∩ s).Nonempty := by
constructor <;> intro h
· rintro U U_op ⟨x, x_in⟩
exact mem_closure_iff.1 (h _) U U_op x_in
· intro x
rw [mem_closure_iff]
intro U U_op x_in
exact h U U_op ⟨_, x_in⟩
#align dense_iff_inter_open dense_iff_inter_open
alias ⟨Dense.inter_open_nonempty, _⟩ := dense_iff_inter_open
#align dense.inter_open_nonempty Dense.inter_open_nonempty
theorem Dense.exists_mem_open (hs : Dense s) {U : Set X} (ho : IsOpen U)
(hne : U.Nonempty) : ∃ x ∈ s, x ∈ U :=
let ⟨x, hx⟩ := hs.inter_open_nonempty U ho hne
⟨x, hx.2, hx.1⟩
#align dense.exists_mem_open Dense.exists_mem_open
theorem Dense.nonempty_iff (hs : Dense s) : s.Nonempty ↔ Nonempty X :=
⟨fun ⟨x, _⟩ => ⟨x⟩, fun ⟨x⟩ =>
let ⟨y, hy⟩ := hs.inter_open_nonempty _ isOpen_univ ⟨x, trivial⟩
⟨y, hy.2⟩⟩
#align dense.nonempty_iff Dense.nonempty_iff
theorem Dense.nonempty [h : Nonempty X] (hs : Dense s) : s.Nonempty :=
hs.nonempty_iff.2 h
#align dense.nonempty Dense.nonempty
@[mono]
theorem Dense.mono (h : s₁ ⊆ s₂) (hd : Dense s₁) : Dense s₂ := fun x =>
closure_mono h (hd x)
#align dense.mono Dense.mono
theorem dense_compl_singleton_iff_not_open :
Dense ({x}ᶜ : Set X) ↔ ¬IsOpen ({x} : Set X) := by
constructor
· intro hd ho
exact (hd.inter_open_nonempty _ ho (singleton_nonempty _)).ne_empty (inter_compl_self _)
· refine fun ho => dense_iff_inter_open.2 fun U hU hne => inter_compl_nonempty_iff.2 fun hUx => ?_
obtain rfl : U = {x} := eq_singleton_iff_nonempty_unique_mem.2 ⟨hne, hUx⟩
exact ho hU
#align dense_compl_singleton_iff_not_open dense_compl_singleton_iff_not_open
@[simp]
theorem closure_diff_interior (s : Set X) : closure s \ interior s = frontier s :=
rfl
#align closure_diff_interior closure_diff_interior
lemma disjoint_interior_frontier : Disjoint (interior s) (frontier s) := by
rw [disjoint_iff_inter_eq_empty, ← closure_diff_interior, diff_eq,
← inter_assoc, inter_comm, ← inter_assoc, compl_inter_self, empty_inter]
@[simp]
theorem closure_diff_frontier (s : Set X) : closure s \ frontier s = interior s := by
rw [frontier, diff_diff_right_self, inter_eq_self_of_subset_right interior_subset_closure]
#align closure_diff_frontier closure_diff_frontier
@[simp]
theorem self_diff_frontier (s : Set X) : s \ frontier s = interior s := by
rw [frontier, diff_diff_right, diff_eq_empty.2 subset_closure,
inter_eq_self_of_subset_right interior_subset, empty_union]
#align self_diff_frontier self_diff_frontier
theorem frontier_eq_closure_inter_closure : frontier s = closure s ∩ closure sᶜ := by
rw [closure_compl, frontier, diff_eq]
#align frontier_eq_closure_inter_closure frontier_eq_closure_inter_closure
theorem frontier_subset_closure : frontier s ⊆ closure s :=
diff_subset
#align frontier_subset_closure frontier_subset_closure
theorem IsClosed.frontier_subset (hs : IsClosed s) : frontier s ⊆ s :=
frontier_subset_closure.trans hs.closure_eq.subset
#align is_closed.frontier_subset IsClosed.frontier_subset
theorem frontier_closure_subset : frontier (closure s) ⊆ frontier s :=
diff_subset_diff closure_closure.subset <| interior_mono subset_closure
#align frontier_closure_subset frontier_closure_subset
theorem frontier_interior_subset : frontier (interior s) ⊆ frontier s :=
diff_subset_diff (closure_mono interior_subset) interior_interior.symm.subset
#align frontier_interior_subset frontier_interior_subset
@[simp]
theorem frontier_compl (s : Set X) : frontier sᶜ = frontier s := by
simp only [frontier_eq_closure_inter_closure, compl_compl, inter_comm]
#align frontier_compl frontier_compl
@[simp]
theorem frontier_univ : frontier (univ : Set X) = ∅ := by simp [frontier]
#align frontier_univ frontier_univ
@[simp]
theorem frontier_empty : frontier (∅ : Set X) = ∅ := by simp [frontier]
#align frontier_empty frontier_empty
theorem frontier_inter_subset (s t : Set X) :
frontier (s ∩ t) ⊆ frontier s ∩ closure t ∪ closure s ∩ frontier t := by
simp only [frontier_eq_closure_inter_closure, compl_inter, closure_union]
refine (inter_subset_inter_left _ (closure_inter_subset_inter_closure s t)).trans_eq ?_
simp only [inter_union_distrib_left, union_inter_distrib_right, inter_assoc,
inter_comm (closure t)]
#align frontier_inter_subset frontier_inter_subset
theorem frontier_union_subset (s t : Set X) :
frontier (s ∪ t) ⊆ frontier s ∩ closure tᶜ ∪ closure sᶜ ∩ frontier t := by
simpa only [frontier_compl, ← compl_union] using frontier_inter_subset sᶜ tᶜ
#align frontier_union_subset frontier_union_subset
theorem IsClosed.frontier_eq (hs : IsClosed s) : frontier s = s \ interior s := by
rw [frontier, hs.closure_eq]
#align is_closed.frontier_eq IsClosed.frontier_eq
theorem IsOpen.frontier_eq (hs : IsOpen s) : frontier s = closure s \ s := by
rw [frontier, hs.interior_eq]
#align is_open.frontier_eq IsOpen.frontier_eq
theorem IsOpen.inter_frontier_eq (hs : IsOpen s) : s ∩ frontier s = ∅ := by
rw [hs.frontier_eq, inter_diff_self]
#align is_open.inter_frontier_eq IsOpen.inter_frontier_eq
theorem isClosed_frontier : IsClosed (frontier s) := by
rw [frontier_eq_closure_inter_closure]; exact IsClosed.inter isClosed_closure isClosed_closure
#align is_closed_frontier isClosed_frontier
theorem interior_frontier (h : IsClosed s) : interior (frontier s) = ∅ := by
have A : frontier s = s \ interior s := h.frontier_eq
have B : interior (frontier s) ⊆ interior s := by rw [A]; exact interior_mono diff_subset
have C : interior (frontier s) ⊆ frontier s := interior_subset
have : interior (frontier s) ⊆ interior s ∩ (s \ interior s) :=
subset_inter B (by simpa [A] using C)
rwa [inter_diff_self, subset_empty_iff] at this
#align interior_frontier interior_frontier
theorem closure_eq_interior_union_frontier (s : Set X) : closure s = interior s ∪ frontier s :=
(union_diff_cancel interior_subset_closure).symm
#align closure_eq_interior_union_frontier closure_eq_interior_union_frontier
theorem closure_eq_self_union_frontier (s : Set X) : closure s = s ∪ frontier s :=
(union_diff_cancel' interior_subset subset_closure).symm
#align closure_eq_self_union_frontier closure_eq_self_union_frontier
theorem Disjoint.frontier_left (ht : IsOpen t) (hd : Disjoint s t) : Disjoint (frontier s) t :=
subset_compl_iff_disjoint_right.1 <|
frontier_subset_closure.trans <| closure_minimal (disjoint_left.1 hd) <| isClosed_compl_iff.2 ht
#align disjoint.frontier_left Disjoint.frontier_left
theorem Disjoint.frontier_right (hs : IsOpen s) (hd : Disjoint s t) : Disjoint s (frontier t) :=
(hd.symm.frontier_left hs).symm
#align disjoint.frontier_right Disjoint.frontier_right
theorem frontier_eq_inter_compl_interior :
frontier s = (interior s)ᶜ ∩ (interior sᶜ)ᶜ := by
rw [← frontier_compl, ← closure_compl, ← diff_eq, closure_diff_interior]
#align frontier_eq_inter_compl_interior frontier_eq_inter_compl_interior
theorem compl_frontier_eq_union_interior :
(frontier s)ᶜ = interior s ∪ interior sᶜ := by
rw [frontier_eq_inter_compl_interior]
simp only [compl_inter, compl_compl]
#align compl_frontier_eq_union_interior compl_frontier_eq_union_interior
theorem nhds_def' (x : X) : 𝓝 x = ⨅ (s : Set X) (_ : IsOpen s) (_ : x ∈ s), 𝓟 s := by
simp only [nhds_def, mem_setOf_eq, @and_comm (x ∈ _), iInf_and]
#align nhds_def' nhds_def'
theorem nhds_basis_opens (x : X) :
(𝓝 x).HasBasis (fun s : Set X => x ∈ s ∧ IsOpen s) fun s => s := by
rw [nhds_def]
exact hasBasis_biInf_principal
(fun s ⟨has, hs⟩ t ⟨hat, ht⟩ =>
⟨s ∩ t, ⟨⟨has, hat⟩, IsOpen.inter hs ht⟩, ⟨inter_subset_left, inter_subset_right⟩⟩)
⟨univ, ⟨mem_univ x, isOpen_univ⟩⟩
#align nhds_basis_opens nhds_basis_opens
theorem nhds_basis_closeds (x : X) : (𝓝 x).HasBasis (fun s : Set X => x ∉ s ∧ IsClosed s) compl :=
⟨fun t => (nhds_basis_opens x).mem_iff.trans <|
compl_surjective.exists.trans <| by simp only [isOpen_compl_iff, mem_compl_iff]⟩
#align nhds_basis_closeds nhds_basis_closeds
@[simp]
theorem lift'_nhds_interior (x : X) : (𝓝 x).lift' interior = 𝓝 x :=
(nhds_basis_opens x).lift'_interior_eq_self fun _ ↦ And.right
theorem Filter.HasBasis.nhds_interior {x : X} {p : ι → Prop} {s : ι → Set X}
(h : (𝓝 x).HasBasis p s) : (𝓝 x).HasBasis p (interior <| s ·) :=
lift'_nhds_interior x ▸ h.lift'_interior
theorem le_nhds_iff {f} : f ≤ 𝓝 x ↔ ∀ s : Set X, x ∈ s → IsOpen s → s ∈ f := by simp [nhds_def]
#align le_nhds_iff le_nhds_iff
theorem nhds_le_of_le {f} (h : x ∈ s) (o : IsOpen s) (sf : 𝓟 s ≤ f) : 𝓝 x ≤ f := by
rw [nhds_def]; exact iInf₂_le_of_le s ⟨h, o⟩ sf
#align nhds_le_of_le nhds_le_of_le
theorem mem_nhds_iff : s ∈ 𝓝 x ↔ ∃ t ⊆ s, IsOpen t ∧ x ∈ t :=
(nhds_basis_opens x).mem_iff.trans <| exists_congr fun _ =>
⟨fun h => ⟨h.2, h.1.2, h.1.1⟩, fun h => ⟨⟨h.2.2, h.2.1⟩, h.1⟩⟩
#align mem_nhds_iff mem_nhds_iffₓ
theorem eventually_nhds_iff {p : X → Prop} :
(∀ᶠ x in 𝓝 x, p x) ↔ ∃ t : Set X, (∀ x ∈ t, p x) ∧ IsOpen t ∧ x ∈ t :=
mem_nhds_iff.trans <| by simp only [subset_def, exists_prop, mem_setOf_eq]
#align eventually_nhds_iff eventually_nhds_iff
theorem mem_interior_iff_mem_nhds : x ∈ interior s ↔ s ∈ 𝓝 x :=
mem_interior.trans mem_nhds_iff.symm
#align mem_interior_iff_mem_nhds mem_interior_iff_mem_nhds
theorem map_nhds {f : X → α} :
map f (𝓝 x) = ⨅ s ∈ { s : Set X | x ∈ s ∧ IsOpen s }, 𝓟 (f '' s) :=
((nhds_basis_opens x).map f).eq_biInf
#align map_nhds map_nhds
theorem mem_of_mem_nhds : s ∈ 𝓝 x → x ∈ s := fun H =>
let ⟨_t, ht, _, hs⟩ := mem_nhds_iff.1 H; ht hs
#align mem_of_mem_nhds mem_of_mem_nhds
theorem Filter.Eventually.self_of_nhds {p : X → Prop} (h : ∀ᶠ y in 𝓝 x, p y) : p x :=
mem_of_mem_nhds h
#align filter.eventually.self_of_nhds Filter.Eventually.self_of_nhds
theorem IsOpen.mem_nhds (hs : IsOpen s) (hx : x ∈ s) : s ∈ 𝓝 x :=
mem_nhds_iff.2 ⟨s, Subset.refl _, hs, hx⟩
#align is_open.mem_nhds IsOpen.mem_nhds
protected theorem IsOpen.mem_nhds_iff (hs : IsOpen s) : s ∈ 𝓝 x ↔ x ∈ s :=
⟨mem_of_mem_nhds, fun hx => mem_nhds_iff.2 ⟨s, Subset.rfl, hs, hx⟩⟩
#align is_open.mem_nhds_iff IsOpen.mem_nhds_iff
theorem IsClosed.compl_mem_nhds (hs : IsClosed s) (hx : x ∉ s) : sᶜ ∈ 𝓝 x :=
hs.isOpen_compl.mem_nhds (mem_compl hx)
#align is_closed.compl_mem_nhds IsClosed.compl_mem_nhds
theorem IsOpen.eventually_mem (hs : IsOpen s) (hx : x ∈ s) :
∀ᶠ x in 𝓝 x, x ∈ s :=
IsOpen.mem_nhds hs hx
#align is_open.eventually_mem IsOpen.eventually_mem
theorem nhds_basis_opens' (x : X) :
(𝓝 x).HasBasis (fun s : Set X => s ∈ 𝓝 x ∧ IsOpen s) fun x => x := by
convert nhds_basis_opens x using 2
exact and_congr_left_iff.2 IsOpen.mem_nhds_iff
#align nhds_basis_opens' nhds_basis_opens'
theorem exists_open_set_nhds {U : Set X} (h : ∀ x ∈ s, U ∈ 𝓝 x) :
∃ V : Set X, s ⊆ V ∧ IsOpen V ∧ V ⊆ U :=
⟨interior U, fun x hx => mem_interior_iff_mem_nhds.2 <| h x hx, isOpen_interior, interior_subset⟩
#align exists_open_set_nhds exists_open_set_nhds
theorem exists_open_set_nhds' {U : Set X} (h : U ∈ ⨆ x ∈ s, 𝓝 x) :
∃ V : Set X, s ⊆ V ∧ IsOpen V ∧ V ⊆ U :=
exists_open_set_nhds (by simpa using h)
#align exists_open_set_nhds' exists_open_set_nhds'
theorem Filter.Eventually.eventually_nhds {p : X → Prop} (h : ∀ᶠ y in 𝓝 x, p y) :
∀ᶠ y in 𝓝 x, ∀ᶠ x in 𝓝 y, p x :=
let ⟨t, htp, hto, ha⟩ := eventually_nhds_iff.1 h
eventually_nhds_iff.2 ⟨t, fun _x hx => eventually_nhds_iff.2 ⟨t, htp, hto, hx⟩, hto, ha⟩
#align filter.eventually.eventually_nhds Filter.Eventually.eventually_nhds
@[simp]
theorem eventually_eventually_nhds {p : X → Prop} :
(∀ᶠ y in 𝓝 x, ∀ᶠ x in 𝓝 y, p x) ↔ ∀ᶠ x in 𝓝 x, p x :=
⟨fun h => h.self_of_nhds, fun h => h.eventually_nhds⟩
#align eventually_eventually_nhds eventually_eventually_nhds
@[simp]
theorem frequently_frequently_nhds {p : X → Prop} :
(∃ᶠ x' in 𝓝 x, ∃ᶠ x'' in 𝓝 x', p x'') ↔ ∃ᶠ x in 𝓝 x, p x := by
rw [← not_iff_not]
simp only [not_frequently, eventually_eventually_nhds]
#align frequently_frequently_nhds frequently_frequently_nhds
@[simp]
theorem eventually_mem_nhds : (∀ᶠ x' in 𝓝 x, s ∈ 𝓝 x') ↔ s ∈ 𝓝 x :=
eventually_eventually_nhds
#align eventually_mem_nhds eventually_mem_nhds
@[simp]
theorem nhds_bind_nhds : (𝓝 x).bind 𝓝 = 𝓝 x :=
Filter.ext fun _ => eventually_eventually_nhds
#align nhds_bind_nhds nhds_bind_nhds
@[simp]
theorem eventually_eventuallyEq_nhds {f g : X → α} :
(∀ᶠ y in 𝓝 x, f =ᶠ[𝓝 y] g) ↔ f =ᶠ[𝓝 x] g :=
eventually_eventually_nhds
#align eventually_eventually_eq_nhds eventually_eventuallyEq_nhds
theorem Filter.EventuallyEq.eq_of_nhds {f g : X → α} (h : f =ᶠ[𝓝 x] g) : f x = g x :=
h.self_of_nhds
#align filter.eventually_eq.eq_of_nhds Filter.EventuallyEq.eq_of_nhds
@[simp]
theorem eventually_eventuallyLE_nhds [LE α] {f g : X → α} :
(∀ᶠ y in 𝓝 x, f ≤ᶠ[𝓝 y] g) ↔ f ≤ᶠ[𝓝 x] g :=
eventually_eventually_nhds
#align eventually_eventually_le_nhds eventually_eventuallyLE_nhds
theorem Filter.EventuallyEq.eventuallyEq_nhds {f g : X → α} (h : f =ᶠ[𝓝 x] g) :
∀ᶠ y in 𝓝 x, f =ᶠ[𝓝 y] g :=
h.eventually_nhds
#align filter.eventually_eq.eventually_eq_nhds Filter.EventuallyEq.eventuallyEq_nhds
theorem Filter.EventuallyLE.eventuallyLE_nhds [LE α] {f g : X → α} (h : f ≤ᶠ[𝓝 x] g) :
∀ᶠ y in 𝓝 x, f ≤ᶠ[𝓝 y] g :=
h.eventually_nhds
#align filter.eventually_le.eventually_le_nhds Filter.EventuallyLE.eventuallyLE_nhds
theorem all_mem_nhds (x : X) (P : Set X → Prop) (hP : ∀ s t, s ⊆ t → P s → P t) :
(∀ s ∈ 𝓝 x, P s) ↔ ∀ s, IsOpen s → x ∈ s → P s :=
((nhds_basis_opens x).forall_iff hP).trans <| by simp only [@and_comm (x ∈ _), and_imp]
#align all_mem_nhds all_mem_nhds
theorem all_mem_nhds_filter (x : X) (f : Set X → Set α) (hf : ∀ s t, s ⊆ t → f s ⊆ f t)
(l : Filter α) : (∀ s ∈ 𝓝 x, f s ∈ l) ↔ ∀ s, IsOpen s → x ∈ s → f s ∈ l :=
all_mem_nhds _ _ fun s t ssubt h => mem_of_superset h (hf s t ssubt)
#align all_mem_nhds_filter all_mem_nhds_filter
theorem tendsto_nhds {f : α → X} {l : Filter α} :
Tendsto f l (𝓝 x) ↔ ∀ s, IsOpen s → x ∈ s → f ⁻¹' s ∈ l :=
all_mem_nhds_filter _ _ (fun _ _ h => preimage_mono h) _
#align tendsto_nhds tendsto_nhds
theorem tendsto_atTop_nhds [Nonempty α] [SemilatticeSup α] {f : α → X} :
Tendsto f atTop (𝓝 x) ↔ ∀ U : Set X, x ∈ U → IsOpen U → ∃ N, ∀ n, N ≤ n → f n ∈ U :=
(atTop_basis.tendsto_iff (nhds_basis_opens x)).trans <| by
simp only [and_imp, exists_prop, true_and_iff, mem_Ici, ge_iff_le]
#align tendsto_at_top_nhds tendsto_atTop_nhds
theorem tendsto_const_nhds {f : Filter α} : Tendsto (fun _ : α => x) f (𝓝 x) :=
tendsto_nhds.mpr fun _ _ ha => univ_mem' fun _ => ha
#align tendsto_const_nhds tendsto_const_nhds
theorem tendsto_atTop_of_eventually_const {ι : Type*} [SemilatticeSup ι] [Nonempty ι]
{u : ι → X} {i₀ : ι} (h : ∀ i ≥ i₀, u i = x) : Tendsto u atTop (𝓝 x) :=
Tendsto.congr' (EventuallyEq.symm (eventually_atTop.mpr ⟨i₀, h⟩)) tendsto_const_nhds
#align tendsto_at_top_of_eventually_const tendsto_atTop_of_eventually_const
theorem tendsto_atBot_of_eventually_const {ι : Type*} [SemilatticeInf ι] [Nonempty ι]
{u : ι → X} {i₀ : ι} (h : ∀ i ≤ i₀, u i = x) : Tendsto u atBot (𝓝 x) :=
Tendsto.congr' (EventuallyEq.symm (eventually_atBot.mpr ⟨i₀, h⟩)) tendsto_const_nhds
#align tendsto_at_bot_of_eventually_const tendsto_atBot_of_eventually_const
theorem pure_le_nhds : pure ≤ (𝓝 : X → Filter X) := fun _ _ hs => mem_pure.2 <| mem_of_mem_nhds hs
#align pure_le_nhds pure_le_nhds
theorem tendsto_pure_nhds (f : α → X) (a : α) : Tendsto f (pure a) (𝓝 (f a)) :=
(tendsto_pure_pure f a).mono_right (pure_le_nhds _)
#align tendsto_pure_nhds tendsto_pure_nhds
theorem OrderTop.tendsto_atTop_nhds [PartialOrder α] [OrderTop α] (f : α → X) :
Tendsto f atTop (𝓝 (f ⊤)) :=
(tendsto_atTop_pure f).mono_right (pure_le_nhds _)
#align order_top.tendsto_at_top_nhds OrderTop.tendsto_atTop_nhds
@[simp]
instance nhds_neBot : NeBot (𝓝 x) :=
neBot_of_le (pure_le_nhds x)
#align nhds_ne_bot nhds_neBot
theorem tendsto_nhds_of_eventually_eq {l : Filter α} {f : α → X} (h : ∀ᶠ x' in l, f x' = x) :
Tendsto f l (𝓝 x) :=
tendsto_const_nhds.congr' (.symm h)
theorem Filter.EventuallyEq.tendsto {l : Filter α} {f : α → X} (hf : f =ᶠ[l] fun _ ↦ x) :
Tendsto f l (𝓝 x) :=
tendsto_nhds_of_eventually_eq hf
theorem ClusterPt.neBot {F : Filter X} (h : ClusterPt x F) : NeBot (𝓝 x ⊓ F) :=
h
#align cluster_pt.ne_bot ClusterPt.neBot
theorem Filter.HasBasis.clusterPt_iff {ιX ιF} {pX : ιX → Prop} {sX : ιX → Set X} {pF : ιF → Prop}
{sF : ιF → Set X} {F : Filter X} (hX : (𝓝 x).HasBasis pX sX) (hF : F.HasBasis pF sF) :
ClusterPt x F ↔ ∀ ⦃i⦄, pX i → ∀ ⦃j⦄, pF j → (sX i ∩ sF j).Nonempty :=
hX.inf_basis_neBot_iff hF
#align filter.has_basis.cluster_pt_iff Filter.HasBasis.clusterPt_iff
theorem clusterPt_iff {F : Filter X} :
ClusterPt x F ↔ ∀ ⦃U : Set X⦄, U ∈ 𝓝 x → ∀ ⦃V⦄, V ∈ F → (U ∩ V).Nonempty :=
inf_neBot_iff
#align cluster_pt_iff clusterPt_iff
theorem clusterPt_iff_not_disjoint {F : Filter X} :
ClusterPt x F ↔ ¬Disjoint (𝓝 x) F := by
rw [disjoint_iff, ClusterPt, neBot_iff]
theorem clusterPt_principal_iff :
ClusterPt x (𝓟 s) ↔ ∀ U ∈ 𝓝 x, (U ∩ s).Nonempty :=
inf_principal_neBot_iff
#align cluster_pt_principal_iff clusterPt_principal_iff
theorem clusterPt_principal_iff_frequently :
ClusterPt x (𝓟 s) ↔ ∃ᶠ y in 𝓝 x, y ∈ s := by
simp only [clusterPt_principal_iff, frequently_iff, Set.Nonempty, exists_prop, mem_inter_iff]
#align cluster_pt_principal_iff_frequently clusterPt_principal_iff_frequently
theorem ClusterPt.of_le_nhds {f : Filter X} (H : f ≤ 𝓝 x) [NeBot f] : ClusterPt x f := by
rwa [ClusterPt, inf_eq_right.mpr H]
#align cluster_pt.of_le_nhds ClusterPt.of_le_nhds
theorem ClusterPt.of_le_nhds' {f : Filter X} (H : f ≤ 𝓝 x) (_hf : NeBot f) :
ClusterPt x f :=
ClusterPt.of_le_nhds H
#align cluster_pt.of_le_nhds' ClusterPt.of_le_nhds'
theorem ClusterPt.of_nhds_le {f : Filter X} (H : 𝓝 x ≤ f) : ClusterPt x f := by
simp only [ClusterPt, inf_eq_left.mpr H, nhds_neBot]
#align cluster_pt.of_nhds_le ClusterPt.of_nhds_le
theorem ClusterPt.mono {f g : Filter X} (H : ClusterPt x f) (h : f ≤ g) : ClusterPt x g :=
NeBot.mono H <| inf_le_inf_left _ h
#align cluster_pt.mono ClusterPt.mono
theorem ClusterPt.of_inf_left {f g : Filter X} (H : ClusterPt x <| f ⊓ g) : ClusterPt x f :=
H.mono inf_le_left
#align cluster_pt.of_inf_left ClusterPt.of_inf_left
theorem ClusterPt.of_inf_right {f g : Filter X} (H : ClusterPt x <| f ⊓ g) :
ClusterPt x g :=
H.mono inf_le_right
#align cluster_pt.of_inf_right ClusterPt.of_inf_right
theorem Ultrafilter.clusterPt_iff {f : Ultrafilter X} : ClusterPt x f ↔ ↑f ≤ 𝓝 x :=
⟨f.le_of_inf_neBot', fun h => ClusterPt.of_le_nhds h⟩
#align ultrafilter.cluster_pt_iff Ultrafilter.clusterPt_iff
theorem clusterPt_iff_ultrafilter {f : Filter X} : ClusterPt x f ↔
∃ u : Ultrafilter X, u ≤ f ∧ u ≤ 𝓝 x := by
simp_rw [ClusterPt, ← le_inf_iff, exists_ultrafilter_iff, inf_comm]
theorem mapClusterPt_def {ι : Type*} (x : X) (F : Filter ι) (u : ι → X) :
MapClusterPt x F u ↔ ClusterPt x (map u F) := Iff.rfl
theorem mapClusterPt_iff {ι : Type*} (x : X) (F : Filter ι) (u : ι → X) :
MapClusterPt x F u ↔ ∀ s ∈ 𝓝 x, ∃ᶠ a in F, u a ∈ s := by
simp_rw [MapClusterPt, ClusterPt, inf_neBot_iff_frequently_left, frequently_map]
rfl
#align map_cluster_pt_iff mapClusterPt_iff
theorem mapClusterPt_iff_ultrafilter {ι : Type*} (x : X) (F : Filter ι) (u : ι → X) :
MapClusterPt x F u ↔ ∃ U : Ultrafilter ι, U ≤ F ∧ Tendsto u U (𝓝 x) := by
simp_rw [MapClusterPt, ClusterPt, ← Filter.push_pull', map_neBot_iff, tendsto_iff_comap,
← le_inf_iff, exists_ultrafilter_iff, inf_comm]
theorem mapClusterPt_comp {X α β : Type*} {x : X} [TopologicalSpace X] {F : Filter α} {φ : α → β}
{u : β → X} : MapClusterPt x F (u ∘ φ) ↔ MapClusterPt x (map φ F) u := Iff.rfl
theorem mapClusterPt_of_comp {F : Filter α} {φ : β → α} {p : Filter β}
{u : α → X} [NeBot p] (h : Tendsto φ p F) (H : Tendsto (u ∘ φ) p (𝓝 x)) :
MapClusterPt x F u := by
have :=
calc
map (u ∘ φ) p = map u (map φ p) := map_map
_ ≤ map u F := map_mono h
have : map (u ∘ φ) p ≤ 𝓝 x ⊓ map u F := le_inf H this
exact neBot_of_le this
#align map_cluster_pt_of_comp mapClusterPt_of_comp
theorem acc_iff_cluster (x : X) (F : Filter X) : AccPt x F ↔ ClusterPt x (𝓟 {x}ᶜ ⊓ F) := by
rw [AccPt, nhdsWithin, ClusterPt, inf_assoc]
#align acc_iff_cluster acc_iff_cluster
theorem acc_principal_iff_cluster (x : X) (C : Set X) :
AccPt x (𝓟 C) ↔ ClusterPt x (𝓟 (C \ {x})) := by
rw [acc_iff_cluster, inf_principal, inter_comm, diff_eq]
#align acc_principal_iff_cluster acc_principal_iff_cluster
theorem accPt_iff_nhds (x : X) (C : Set X) : AccPt x (𝓟 C) ↔ ∀ U ∈ 𝓝 x, ∃ y ∈ U ∩ C, y ≠ x := by
simp [acc_principal_iff_cluster, clusterPt_principal_iff, Set.Nonempty, exists_prop, and_assoc,
@and_comm (¬_ = x)]
#align acc_pt_iff_nhds accPt_iff_nhds
theorem accPt_iff_frequently (x : X) (C : Set X) : AccPt x (𝓟 C) ↔ ∃ᶠ y in 𝓝 x, y ≠ x ∧ y ∈ C := by
simp [acc_principal_iff_cluster, clusterPt_principal_iff_frequently, and_comm]
#align acc_pt_iff_frequently accPt_iff_frequently
theorem AccPt.mono {F G : Filter X} (h : AccPt x F) (hFG : F ≤ G) : AccPt x G :=
NeBot.mono h (inf_le_inf_left _ hFG)
#align acc_pt.mono AccPt.mono
theorem interior_eq_nhds' : interior s = { x | s ∈ 𝓝 x } :=
Set.ext fun x => by simp only [mem_interior, mem_nhds_iff, mem_setOf_eq]
#align interior_eq_nhds' interior_eq_nhds'
theorem interior_eq_nhds : interior s = { x | 𝓝 x ≤ 𝓟 s } :=
interior_eq_nhds'.trans <| by simp only [le_principal_iff]
#align interior_eq_nhds interior_eq_nhds
@[simp]
theorem interior_mem_nhds : interior s ∈ 𝓝 x ↔ s ∈ 𝓝 x :=
⟨fun h => mem_of_superset h interior_subset, fun h =>
IsOpen.mem_nhds isOpen_interior (mem_interior_iff_mem_nhds.2 h)⟩
#align interior_mem_nhds interior_mem_nhds
theorem interior_setOf_eq {p : X → Prop} : interior { x | p x } = { x | ∀ᶠ y in 𝓝 x, p y } :=
interior_eq_nhds'
#align interior_set_of_eq interior_setOf_eq
theorem isOpen_setOf_eventually_nhds {p : X → Prop} : IsOpen { x | ∀ᶠ y in 𝓝 x, p y } := by
simp only [← interior_setOf_eq, isOpen_interior]
#align is_open_set_of_eventually_nhds isOpen_setOf_eventually_nhds
theorem subset_interior_iff_nhds {V : Set X} : s ⊆ interior V ↔ ∀ x ∈ s, V ∈ 𝓝 x := by
simp_rw [subset_def, mem_interior_iff_mem_nhds]
#align subset_interior_iff_nhds subset_interior_iff_nhds
theorem isOpen_iff_nhds : IsOpen s ↔ ∀ x ∈ s, 𝓝 x ≤ 𝓟 s :=
calc
IsOpen s ↔ s ⊆ interior s := subset_interior_iff_isOpen.symm
_ ↔ ∀ x ∈ s, 𝓝 x ≤ 𝓟 s := by simp_rw [interior_eq_nhds, subset_def, mem_setOf]
#align is_open_iff_nhds isOpen_iff_nhds
theorem TopologicalSpace.ext_iff_nhds {t t' : TopologicalSpace X} :
t = t' ↔ ∀ x, @nhds _ t x = @nhds _ t' x :=
⟨fun H x ↦ congrFun (congrArg _ H) _, fun H ↦ by ext; simp_rw [@isOpen_iff_nhds _ _ _, H]⟩
alias ⟨_, TopologicalSpace.ext_nhds⟩ := TopologicalSpace.ext_iff_nhds
theorem isOpen_iff_mem_nhds : IsOpen s ↔ ∀ x ∈ s, s ∈ 𝓝 x :=
isOpen_iff_nhds.trans <| forall_congr' fun _ => imp_congr_right fun _ => le_principal_iff
#align is_open_iff_mem_nhds isOpen_iff_mem_nhds
theorem isOpen_iff_eventually : IsOpen s ↔ ∀ x, x ∈ s → ∀ᶠ y in 𝓝 x, y ∈ s :=
isOpen_iff_mem_nhds
#align is_open_iff_eventually isOpen_iff_eventually
theorem isOpen_iff_ultrafilter :
IsOpen s ↔ ∀ x ∈ s, ∀ (l : Ultrafilter X), ↑l ≤ 𝓝 x → s ∈ l := by
simp_rw [isOpen_iff_mem_nhds, ← mem_iff_ultrafilter]
#align is_open_iff_ultrafilter isOpen_iff_ultrafilter
theorem isOpen_singleton_iff_nhds_eq_pure (x : X) : IsOpen ({x} : Set X) ↔ 𝓝 x = pure x := by
constructor
· intro h
apply le_antisymm _ (pure_le_nhds x)
rw [le_pure_iff]
exact h.mem_nhds (mem_singleton x)
· intro h
simp [isOpen_iff_nhds, h]
#align is_open_singleton_iff_nhds_eq_pure isOpen_singleton_iff_nhds_eq_pure
theorem isOpen_singleton_iff_punctured_nhds (x : X) : IsOpen ({x} : Set X) ↔ 𝓝[≠] x = ⊥ := by
rw [isOpen_singleton_iff_nhds_eq_pure, nhdsWithin, ← mem_iff_inf_principal_compl, ← le_pure_iff,
nhds_neBot.le_pure_iff]
#align is_open_singleton_iff_punctured_nhds isOpen_singleton_iff_punctured_nhds
theorem mem_closure_iff_frequently : x ∈ closure s ↔ ∃ᶠ x in 𝓝 x, x ∈ s := by
rw [Filter.Frequently, Filter.Eventually, ← mem_interior_iff_mem_nhds,
closure_eq_compl_interior_compl, mem_compl_iff, compl_def]
#align mem_closure_iff_frequently mem_closure_iff_frequently
alias ⟨_, Filter.Frequently.mem_closure⟩ := mem_closure_iff_frequently
#align filter.frequently.mem_closure Filter.Frequently.mem_closure
theorem isClosed_iff_frequently : IsClosed s ↔ ∀ x, (∃ᶠ y in 𝓝 x, y ∈ s) → x ∈ s := by
rw [← closure_subset_iff_isClosed]
refine forall_congr' fun x => ?_
rw [mem_closure_iff_frequently]
#align is_closed_iff_frequently isClosed_iff_frequently
theorem isClosed_setOf_clusterPt {f : Filter X} : IsClosed { x | ClusterPt x f } := by
simp only [ClusterPt, inf_neBot_iff_frequently_left, setOf_forall, imp_iff_not_or]
refine isClosed_iInter fun p => IsClosed.union ?_ ?_ <;> apply isClosed_compl_iff.2
exacts [isOpen_setOf_eventually_nhds, isOpen_const]
#align is_closed_set_of_cluster_pt isClosed_setOf_clusterPt
theorem mem_closure_iff_clusterPt : x ∈ closure s ↔ ClusterPt x (𝓟 s) :=
mem_closure_iff_frequently.trans clusterPt_principal_iff_frequently.symm
#align mem_closure_iff_cluster_pt mem_closure_iff_clusterPt
theorem mem_closure_iff_nhds_ne_bot : x ∈ closure s ↔ 𝓝 x ⊓ 𝓟 s ≠ ⊥ :=
mem_closure_iff_clusterPt.trans neBot_iff
#align mem_closure_iff_nhds_ne_bot mem_closure_iff_nhds_ne_bot
@[deprecated (since := "2024-01-28")]
alias mem_closure_iff_nhds_neBot := mem_closure_iff_nhds_ne_bot
theorem mem_closure_iff_nhdsWithin_neBot : x ∈ closure s ↔ NeBot (𝓝[s] x) :=
mem_closure_iff_clusterPt
#align mem_closure_iff_nhds_within_ne_bot mem_closure_iff_nhdsWithin_neBot
lemma not_mem_closure_iff_nhdsWithin_eq_bot : x ∉ closure s ↔ 𝓝[s] x = ⊥ := by
rw [mem_closure_iff_nhdsWithin_neBot, not_neBot]
theorem dense_compl_singleton (x : X) [NeBot (𝓝[≠] x)] : Dense ({x}ᶜ : Set X) := by
intro y
rcases eq_or_ne y x with (rfl | hne)
· rwa [mem_closure_iff_nhdsWithin_neBot]
· exact subset_closure hne
#align dense_compl_singleton dense_compl_singleton
-- Porting note (#10618): was a `@[simp]` lemma but `simp` can prove it
theorem closure_compl_singleton (x : X) [NeBot (𝓝[≠] x)] : closure {x}ᶜ = (univ : Set X) :=
(dense_compl_singleton x).closure_eq
#align closure_compl_singleton closure_compl_singleton
@[simp]
theorem interior_singleton (x : X) [NeBot (𝓝[≠] x)] : interior {x} = (∅ : Set X) :=
interior_eq_empty_iff_dense_compl.2 (dense_compl_singleton x)
#align interior_singleton interior_singleton
theorem not_isOpen_singleton (x : X) [NeBot (𝓝[≠] x)] : ¬IsOpen ({x} : Set X) :=
dense_compl_singleton_iff_not_open.1 (dense_compl_singleton x)
#align not_is_open_singleton not_isOpen_singleton
theorem closure_eq_cluster_pts : closure s = { a | ClusterPt a (𝓟 s) } :=
Set.ext fun _ => mem_closure_iff_clusterPt
#align closure_eq_cluster_pts closure_eq_cluster_pts
theorem mem_closure_iff_nhds : x ∈ closure s ↔ ∀ t ∈ 𝓝 x, (t ∩ s).Nonempty :=
mem_closure_iff_clusterPt.trans clusterPt_principal_iff
#align mem_closure_iff_nhds mem_closure_iff_nhds
theorem mem_closure_iff_nhds' : x ∈ closure s ↔ ∀ t ∈ 𝓝 x, ∃ y : s, ↑y ∈ t := by
simp only [mem_closure_iff_nhds, Set.inter_nonempty_iff_exists_right, SetCoe.exists, exists_prop]
#align mem_closure_iff_nhds' mem_closure_iff_nhds'
theorem mem_closure_iff_comap_neBot :
x ∈ closure s ↔ NeBot (comap ((↑) : s → X) (𝓝 x)) := by
simp_rw [mem_closure_iff_nhds, comap_neBot_iff, Set.inter_nonempty_iff_exists_right,
SetCoe.exists, exists_prop]
#align mem_closure_iff_comap_ne_bot mem_closure_iff_comap_neBot
theorem mem_closure_iff_nhds_basis' {p : ι → Prop} {s : ι → Set X} (h : (𝓝 x).HasBasis p s) :
x ∈ closure t ↔ ∀ i, p i → (s i ∩ t).Nonempty :=
mem_closure_iff_clusterPt.trans <|
(h.clusterPt_iff (hasBasis_principal _)).trans <| by simp only [exists_prop, forall_const]
#align mem_closure_iff_nhds_basis' mem_closure_iff_nhds_basis'
theorem mem_closure_iff_nhds_basis {p : ι → Prop} {s : ι → Set X} (h : (𝓝 x).HasBasis p s) :
x ∈ closure t ↔ ∀ i, p i → ∃ y ∈ t, y ∈ s i :=
(mem_closure_iff_nhds_basis' h).trans <| by
simp only [Set.Nonempty, mem_inter_iff, exists_prop, and_comm]
#align mem_closure_iff_nhds_basis mem_closure_iff_nhds_basis
theorem clusterPt_iff_forall_mem_closure {F : Filter X} :
ClusterPt x F ↔ ∀ s ∈ F, x ∈ closure s := by
simp_rw [ClusterPt, inf_neBot_iff, mem_closure_iff_nhds]
rw [forall₂_swap]
theorem clusterPt_iff_lift'_closure {F : Filter X} :
ClusterPt x F ↔ pure x ≤ (F.lift' closure) := by
simp_rw [clusterPt_iff_forall_mem_closure,
(hasBasis_pure _).le_basis_iff F.basis_sets.lift'_closure, id, singleton_subset_iff, true_and,
exists_const]
theorem clusterPt_iff_lift'_closure' {F : Filter X} :
ClusterPt x F ↔ (F.lift' closure ⊓ pure x).NeBot := by
rw [clusterPt_iff_lift'_closure, ← Ultrafilter.coe_pure, inf_comm, Ultrafilter.inf_neBot_iff]
@[simp]
| Mathlib/Topology/Basic.lean | 1,326 | 1,328 | theorem clusterPt_lift'_closure_iff {F : Filter X} :
ClusterPt x (F.lift' closure) ↔ ClusterPt x F := by |
simp [clusterPt_iff_lift'_closure, lift'_lift'_assoc (monotone_closure X) (monotone_closure X)]
|
import Mathlib.Analysis.Calculus.MeanValue
#align_import analysis.calculus.extend_deriv from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E] {F : Type*} [NormedAddCommGroup F]
[NormedSpace ℝ F]
open Filter Set Metric ContinuousLinearMap
open scoped Topology
attribute [local mono] Set.prod_mono
theorem has_fderiv_at_boundary_of_tendsto_fderiv {f : E → F} {s : Set E} {x : E} {f' : E →L[ℝ] F}
(f_diff : DifferentiableOn ℝ f s) (s_conv : Convex ℝ s) (s_open : IsOpen s)
(f_cont : ∀ y ∈ closure s, ContinuousWithinAt f s y)
(h : Tendsto (fun y => fderiv ℝ f y) (𝓝[s] x) (𝓝 f')) :
HasFDerivWithinAt f f' (closure s) x := by
classical
-- one can assume without loss of generality that `x` belongs to the closure of `s`, as the
-- statement is empty otherwise
by_cases hx : x ∉ closure s
· rw [← closure_closure] at hx; exact hasFDerivWithinAt_of_nmem_closure hx
push_neg at hx
rw [HasFDerivWithinAt, hasFDerivAtFilter_iff_isLittleO, Asymptotics.isLittleO_iff]
intro ε ε_pos
obtain ⟨δ, δ_pos, hδ⟩ : ∃ δ > 0, ∀ y ∈ s, dist y x < δ → ‖fderiv ℝ f y - f'‖ < ε := by
simpa [dist_zero_right] using tendsto_nhdsWithin_nhds.1 h ε ε_pos
set B := ball x δ
suffices ∀ y ∈ B ∩ closure s, ‖f y - f x - (f' y - f' x)‖ ≤ ε * ‖y - x‖ from
mem_nhdsWithin_iff.2 ⟨δ, δ_pos, fun y hy => by simpa using this y hy⟩
suffices
∀ p : E × E,
p ∈ closure ((B ∩ s) ×ˢ (B ∩ s)) → ‖f p.2 - f p.1 - (f' p.2 - f' p.1)‖ ≤ ε * ‖p.2 - p.1‖ by
rw [closure_prod_eq] at this
intro y y_in
apply this ⟨x, y⟩
have : B ∩ closure s ⊆ closure (B ∩ s) := isOpen_ball.inter_closure
exact ⟨this ⟨mem_ball_self δ_pos, hx⟩, this y_in⟩
have key : ∀ p : E × E, p ∈ (B ∩ s) ×ˢ (B ∩ s) →
‖f p.2 - f p.1 - (f' p.2 - f' p.1)‖ ≤ ε * ‖p.2 - p.1‖ := by
rintro ⟨u, v⟩ ⟨u_in, v_in⟩
have conv : Convex ℝ (B ∩ s) := (convex_ball _ _).inter s_conv
have diff : DifferentiableOn ℝ f (B ∩ s) := f_diff.mono inter_subset_right
have bound : ∀ z ∈ B ∩ s, ‖fderivWithin ℝ f (B ∩ s) z - f'‖ ≤ ε := by
intro z z_in
have h := hδ z
have : fderivWithin ℝ f (B ∩ s) z = fderiv ℝ f z := by
have op : IsOpen (B ∩ s) := isOpen_ball.inter s_open
rw [DifferentiableAt.fderivWithin _ (op.uniqueDiffOn z z_in)]
exact (diff z z_in).differentiableAt (IsOpen.mem_nhds op z_in)
rw [← this] at h
exact le_of_lt (h z_in.2 z_in.1)
simpa using conv.norm_image_sub_le_of_norm_fderivWithin_le' diff bound u_in v_in
rintro ⟨u, v⟩ uv_in
have f_cont' : ∀ y ∈ closure s, ContinuousWithinAt (f - ⇑f') s y := by
intro y y_in
exact Tendsto.sub (f_cont y y_in) f'.cont.continuousWithinAt
refine ContinuousWithinAt.closure_le uv_in ?_ ?_ key
all_goals
-- common start for both continuity proofs
have : (B ∩ s) ×ˢ (B ∩ s) ⊆ s ×ˢ s := by mono <;> exact inter_subset_right
obtain ⟨u_in, v_in⟩ : u ∈ closure s ∧ v ∈ closure s := by
simpa [closure_prod_eq] using closure_mono this uv_in
apply ContinuousWithinAt.mono _ this
simp only [ContinuousWithinAt]
· rw [nhdsWithin_prod_eq]
have : ∀ u v, f v - f u - (f' v - f' u) = f v - f' v - (f u - f' u) := by intros; abel
simp only [this]
exact
Tendsto.comp continuous_norm.continuousAt
((Tendsto.comp (f_cont' v v_in) tendsto_snd).sub <|
Tendsto.comp (f_cont' u u_in) tendsto_fst)
· apply tendsto_nhdsWithin_of_tendsto_nhds
rw [nhds_prod_eq]
exact
tendsto_const_nhds.mul
(Tendsto.comp continuous_norm.continuousAt <| tendsto_snd.sub tendsto_fst)
#align has_fderiv_at_boundary_of_tendsto_fderiv has_fderiv_at_boundary_of_tendsto_fderiv
theorem has_deriv_at_interval_left_endpoint_of_tendsto_deriv {s : Set ℝ} {e : E} {a : ℝ} {f : ℝ → E}
(f_diff : DifferentiableOn ℝ f s) (f_lim : ContinuousWithinAt f s a) (hs : s ∈ 𝓝[>] a)
(f_lim' : Tendsto (fun x => deriv f x) (𝓝[>] a) (𝓝 e)) : HasDerivWithinAt f e (Ici a) a := by
obtain ⟨b, ab : a < b, sab : Ioc a b ⊆ s⟩ := mem_nhdsWithin_Ioi_iff_exists_Ioc_subset.1 hs
let t := Ioo a b
have ts : t ⊆ s := Subset.trans Ioo_subset_Ioc_self sab
have t_diff : DifferentiableOn ℝ f t := f_diff.mono ts
have t_conv : Convex ℝ t := convex_Ioo a b
have t_open : IsOpen t := isOpen_Ioo
have t_closure : closure t = Icc a b := closure_Ioo ab.ne
have t_cont : ∀ y ∈ closure t, ContinuousWithinAt f t y := by
rw [t_closure]
intro y hy
by_cases h : y = a
· rw [h]; exact f_lim.mono ts
· have : y ∈ s := sab ⟨lt_of_le_of_ne hy.1 (Ne.symm h), hy.2⟩
exact (f_diff.continuousOn y this).mono ts
have t_diff' : Tendsto (fun x => fderiv ℝ f x) (𝓝[t] a) (𝓝 (smulRight (1 : ℝ →L[ℝ] ℝ) e)) := by
simp only [deriv_fderiv.symm]
exact Tendsto.comp
(isBoundedBilinearMap_smulRight : IsBoundedBilinearMap ℝ _).continuous_right.continuousAt
(tendsto_nhdsWithin_mono_left Ioo_subset_Ioi_self f_lim')
-- now we can apply `has_fderiv_at_boundary_of_differentiable`
have : HasDerivWithinAt f e (Icc a b) a := by
rw [hasDerivWithinAt_iff_hasFDerivWithinAt, ← t_closure]
exact has_fderiv_at_boundary_of_tendsto_fderiv t_diff t_conv t_open t_cont t_diff'
exact this.mono_of_mem (Icc_mem_nhdsWithin_Ici <| left_mem_Ico.2 ab)
#align has_deriv_at_interval_left_endpoint_of_tendsto_deriv has_deriv_at_interval_left_endpoint_of_tendsto_deriv
| Mathlib/Analysis/Calculus/FDeriv/Extend.lean | 145 | 175 | theorem has_deriv_at_interval_right_endpoint_of_tendsto_deriv {s : Set ℝ} {e : E} {a : ℝ}
{f : ℝ → E} (f_diff : DifferentiableOn ℝ f s) (f_lim : ContinuousWithinAt f s a)
(hs : s ∈ 𝓝[<] a) (f_lim' : Tendsto (fun x => deriv f x) (𝓝[<] a) (𝓝 e)) :
HasDerivWithinAt f e (Iic a) a := by |
/- This is a specialization of `has_fderiv_at_boundary_of_differentiable`. To be in the setting of
this theorem, we need to work on an open interval with closure contained in `s ∪ {a}`, that we
call `t = (b, a)`. Then, we check all the assumptions of this theorem and we apply it. -/
obtain ⟨b, ba, sab⟩ : ∃ b ∈ Iio a, Ico b a ⊆ s := mem_nhdsWithin_Iio_iff_exists_Ico_subset.1 hs
let t := Ioo b a
have ts : t ⊆ s := Subset.trans Ioo_subset_Ico_self sab
have t_diff : DifferentiableOn ℝ f t := f_diff.mono ts
have t_conv : Convex ℝ t := convex_Ioo b a
have t_open : IsOpen t := isOpen_Ioo
have t_closure : closure t = Icc b a := closure_Ioo (ne_of_lt ba)
have t_cont : ∀ y ∈ closure t, ContinuousWithinAt f t y := by
rw [t_closure]
intro y hy
by_cases h : y = a
· rw [h]; exact f_lim.mono ts
· have : y ∈ s := sab ⟨hy.1, lt_of_le_of_ne hy.2 h⟩
exact (f_diff.continuousOn y this).mono ts
have t_diff' : Tendsto (fun x => fderiv ℝ f x) (𝓝[t] a) (𝓝 (smulRight (1 : ℝ →L[ℝ] ℝ) e)) := by
simp only [deriv_fderiv.symm]
exact Tendsto.comp
(isBoundedBilinearMap_smulRight : IsBoundedBilinearMap ℝ _).continuous_right.continuousAt
(tendsto_nhdsWithin_mono_left Ioo_subset_Iio_self f_lim')
-- now we can apply `has_fderiv_at_boundary_of_differentiable`
have : HasDerivWithinAt f e (Icc b a) a := by
rw [hasDerivWithinAt_iff_hasFDerivWithinAt, ← t_closure]
exact has_fderiv_at_boundary_of_tendsto_fderiv t_diff t_conv t_open t_cont t_diff'
exact this.mono_of_mem (Icc_mem_nhdsWithin_Iic <| right_mem_Ioc.2 ba)
|
import Mathlib.Algebra.BigOperators.Group.List
import Mathlib.Data.Vector.Defs
import Mathlib.Data.List.Nodup
import Mathlib.Data.List.OfFn
import Mathlib.Data.List.InsertNth
import Mathlib.Control.Applicative
import Mathlib.Control.Traversable.Basic
#align_import data.vector.basic from "leanprover-community/mathlib"@"f694c7dead66f5d4c80f446c796a5aad14707f0e"
set_option autoImplicit true
universe u
variable {n : ℕ}
namespace Vector
variable {α : Type*}
@[inherit_doc]
infixr:67 " ::ᵥ " => Vector.cons
attribute [simp] head_cons tail_cons
instance [Inhabited α] : Inhabited (Vector α n) :=
⟨ofFn default⟩
theorem toList_injective : Function.Injective (@toList α n) :=
Subtype.val_injective
#align vector.to_list_injective Vector.toList_injective
@[ext]
theorem ext : ∀ {v w : Vector α n} (_ : ∀ m : Fin n, Vector.get v m = Vector.get w m), v = w
| ⟨v, hv⟩, ⟨w, hw⟩, h =>
Subtype.eq (List.ext_get (by rw [hv, hw]) fun m hm _ => h ⟨m, hv ▸ hm⟩)
#align vector.ext Vector.ext
instance zero_subsingleton : Subsingleton (Vector α 0) :=
⟨fun _ _ => Vector.ext fun m => Fin.elim0 m⟩
#align vector.zero_subsingleton Vector.zero_subsingleton
@[simp]
theorem cons_val (a : α) : ∀ v : Vector α n, (a ::ᵥ v).val = a :: v.val
| ⟨_, _⟩ => rfl
#align vector.cons_val Vector.cons_val
#align vector.cons_head Vector.head_cons
#align vector.cons_tail Vector.tail_cons
theorem eq_cons_iff (a : α) (v : Vector α n.succ) (v' : Vector α n) :
v = a ::ᵥ v' ↔ v.head = a ∧ v.tail = v' :=
⟨fun h => h.symm ▸ ⟨head_cons a v', tail_cons a v'⟩, fun h =>
_root_.trans (cons_head_tail v).symm (by rw [h.1, h.2])⟩
#align vector.eq_cons_iff Vector.eq_cons_iff
theorem ne_cons_iff (a : α) (v : Vector α n.succ) (v' : Vector α n) :
v ≠ a ::ᵥ v' ↔ v.head ≠ a ∨ v.tail ≠ v' := by rw [Ne, eq_cons_iff a v v', not_and_or]
#align vector.ne_cons_iff Vector.ne_cons_iff
theorem exists_eq_cons (v : Vector α n.succ) : ∃ (a : α) (as : Vector α n), v = a ::ᵥ as :=
⟨v.head, v.tail, (eq_cons_iff v.head v v.tail).2 ⟨rfl, rfl⟩⟩
#align vector.exists_eq_cons Vector.exists_eq_cons
@[simp]
theorem toList_ofFn : ∀ {n} (f : Fin n → α), toList (ofFn f) = List.ofFn f
| 0, f => by rw [ofFn, List.ofFn_zero, toList, nil]
| n + 1, f => by rw [ofFn, List.ofFn_succ, toList_cons, toList_ofFn]
#align vector.to_list_of_fn Vector.toList_ofFn
@[simp]
theorem mk_toList : ∀ (v : Vector α n) (h), (⟨toList v, h⟩ : Vector α n) = v
| ⟨_, _⟩, _ => rfl
#align vector.mk_to_list Vector.mk_toList
@[simp] theorem length_val (v : Vector α n) : v.val.length = n := v.2
-- Porting note: not used in mathlib and coercions done differently in Lean 4
-- @[simp]
-- theorem length_coe (v : Vector α n) :
-- ((coe : { l : List α // l.length = n } → List α) v).length = n :=
-- v.2
#noalign vector.length_coe
@[simp]
theorem toList_map {β : Type*} (v : Vector α n) (f : α → β) :
(v.map f).toList = v.toList.map f := by cases v; rfl
#align vector.to_list_map Vector.toList_map
@[simp]
theorem head_map {β : Type*} (v : Vector α (n + 1)) (f : α → β) : (v.map f).head = f v.head := by
obtain ⟨a, v', h⟩ := Vector.exists_eq_cons v
rw [h, map_cons, head_cons, head_cons]
#align vector.head_map Vector.head_map
@[simp]
theorem tail_map {β : Type*} (v : Vector α (n + 1)) (f : α → β) :
(v.map f).tail = v.tail.map f := by
obtain ⟨a, v', h⟩ := Vector.exists_eq_cons v
rw [h, map_cons, tail_cons, tail_cons]
#align vector.tail_map Vector.tail_map
theorem get_eq_get (v : Vector α n) (i : Fin n) :
v.get i = v.toList.get (Fin.cast v.toList_length.symm i) :=
rfl
#align vector.nth_eq_nth_le Vector.get_eq_getₓ
@[simp]
theorem get_replicate (a : α) (i : Fin n) : (Vector.replicate n a).get i = a := by
apply List.get_replicate
#align vector.nth_repeat Vector.get_replicate
@[simp]
theorem get_map {β : Type*} (v : Vector α n) (f : α → β) (i : Fin n) :
(v.map f).get i = f (v.get i) := by
cases v; simp [Vector.map, get_eq_get]; rfl
#align vector.nth_map Vector.get_map
@[simp]
theorem map₂_nil (f : α → β → γ) : Vector.map₂ f nil nil = nil :=
rfl
@[simp]
theorem map₂_cons (hd₁ : α) (tl₁ : Vector α n) (hd₂ : β) (tl₂ : Vector β n) (f : α → β → γ) :
Vector.map₂ f (hd₁ ::ᵥ tl₁) (hd₂ ::ᵥ tl₂) = f hd₁ hd₂ ::ᵥ (Vector.map₂ f tl₁ tl₂) :=
rfl
@[simp]
theorem get_ofFn {n} (f : Fin n → α) (i) : get (ofFn f) i = f i := by
conv_rhs => erw [← List.get_ofFn f ⟨i, by simp⟩]
simp only [get_eq_get]
congr <;> simp [Fin.heq_ext_iff]
#align vector.nth_of_fn Vector.get_ofFn
@[simp]
theorem ofFn_get (v : Vector α n) : ofFn (get v) = v := by
rcases v with ⟨l, rfl⟩
apply toList_injective
dsimp
simpa only [toList_ofFn] using List.ofFn_get _
#align vector.of_fn_nth Vector.ofFn_get
def _root_.Equiv.vectorEquivFin (α : Type*) (n : ℕ) : Vector α n ≃ (Fin n → α) :=
⟨Vector.get, Vector.ofFn, Vector.ofFn_get, fun f => funext <| Vector.get_ofFn f⟩
#align equiv.vector_equiv_fin Equiv.vectorEquivFin
theorem get_tail (x : Vector α n) (i) : x.tail.get i = x.get ⟨i.1 + 1, by omega⟩ := by
cases' i with i ih; dsimp
rcases x with ⟨_ | _, h⟩ <;> try rfl
rw [List.length] at h
rw [← h] at ih
contradiction
#align vector.nth_tail Vector.get_tail
@[simp]
theorem get_tail_succ : ∀ (v : Vector α n.succ) (i : Fin n), get (tail v) i = get v i.succ
| ⟨a :: l, e⟩, ⟨i, h⟩ => by simp [get_eq_get]; rfl
#align vector.nth_tail_succ Vector.get_tail_succ
@[simp]
theorem tail_val : ∀ v : Vector α n.succ, v.tail.val = v.val.tail
| ⟨_ :: _, _⟩ => rfl
#align vector.tail_val Vector.tail_val
@[simp]
theorem tail_nil : (@nil α).tail = nil :=
rfl
#align vector.tail_nil Vector.tail_nil
@[simp]
theorem singleton_tail : ∀ (v : Vector α 1), v.tail = Vector.nil
| ⟨[_], _⟩ => rfl
#align vector.singleton_tail Vector.singleton_tail
@[simp]
theorem tail_ofFn {n : ℕ} (f : Fin n.succ → α) : tail (ofFn f) = ofFn fun i => f i.succ :=
(ofFn_get _).symm.trans <| by
congr
funext i
rw [get_tail, get_ofFn]
rfl
#align vector.tail_of_fn Vector.tail_ofFn
@[simp]
theorem toList_empty (v : Vector α 0) : v.toList = [] :=
List.length_eq_zero.mp v.2
#align vector.to_list_empty Vector.toList_empty
@[simp]
theorem toList_singleton (v : Vector α 1) : v.toList = [v.head] := by
rw [← v.cons_head_tail]
simp only [toList_cons, toList_nil, head_cons, eq_self_iff_true, and_self_iff, singleton_tail]
#align vector.to_list_singleton Vector.toList_singleton
@[simp]
theorem empty_toList_eq_ff (v : Vector α (n + 1)) : v.toList.isEmpty = false :=
match v with
| ⟨_ :: _, _⟩ => rfl
#align vector.empty_to_list_eq_ff Vector.empty_toList_eq_ff
theorem not_empty_toList (v : Vector α (n + 1)) : ¬v.toList.isEmpty := by
simp only [empty_toList_eq_ff, Bool.coe_sort_false, not_false_iff]
#align vector.not_empty_to_list Vector.not_empty_toList
@[simp]
theorem map_id {n : ℕ} (v : Vector α n) : Vector.map id v = v :=
Vector.eq _ _ (by simp only [List.map_id, Vector.toList_map])
#align vector.map_id Vector.map_id
theorem nodup_iff_injective_get {v : Vector α n} : v.toList.Nodup ↔ Function.Injective v.get := by
cases' v with l hl
subst hl
exact List.nodup_iff_injective_get
#align vector.nodup_iff_nth_inj Vector.nodup_iff_injective_get
theorem head?_toList : ∀ v : Vector α n.succ, (toList v).head? = some (head v)
| ⟨_ :: _, _⟩ => rfl
#align vector.head'_to_list Vector.head?_toList
def reverse (v : Vector α n) : Vector α n :=
⟨v.toList.reverse, by simp⟩
#align vector.reverse Vector.reverse
theorem toList_reverse {v : Vector α n} : v.reverse.toList = v.toList.reverse :=
rfl
#align vector.to_list_reverse Vector.toList_reverse
@[simp]
theorem reverse_reverse {v : Vector α n} : v.reverse.reverse = v := by
cases v
simp [Vector.reverse]
#align vector.reverse_reverse Vector.reverse_reverse
@[simp]
theorem get_zero : ∀ v : Vector α n.succ, get v 0 = head v
| ⟨_ :: _, _⟩ => rfl
#align vector.nth_zero Vector.get_zero
@[simp]
theorem head_ofFn {n : ℕ} (f : Fin n.succ → α) : head (ofFn f) = f 0 := by
rw [← get_zero, get_ofFn]
#align vector.head_of_fn Vector.head_ofFn
--@[simp] Porting note (#10618): simp can prove it
theorem get_cons_zero (a : α) (v : Vector α n) : get (a ::ᵥ v) 0 = a := by simp [get_zero]
#align vector.nth_cons_zero Vector.get_cons_zero
@[simp]
theorem get_cons_nil : ∀ {ix : Fin 1} (x : α), get (x ::ᵥ nil) ix = x
| ⟨0, _⟩, _ => rfl
#align vector.nth_cons_nil Vector.get_cons_nil
@[simp]
theorem get_cons_succ (a : α) (v : Vector α n) (i : Fin n) : get (a ::ᵥ v) i.succ = get v i := by
rw [← get_tail_succ, tail_cons]
#align vector.nth_cons_succ Vector.get_cons_succ
def last (v : Vector α (n + 1)) : α :=
v.get (Fin.last n)
#align vector.last Vector.last
theorem last_def {v : Vector α (n + 1)} : v.last = v.get (Fin.last n) :=
rfl
#align vector.last_def Vector.last_def
theorem reverse_get_zero {v : Vector α (n + 1)} : v.reverse.head = v.last := by
rw [← get_zero, last_def, get_eq_get, get_eq_get]
simp_rw [toList_reverse]
rw [← Option.some_inj, Fin.cast, Fin.cast, ← List.get?_eq_get, ← List.get?_eq_get,
List.get?_reverse]
· congr
simp
· simp
#align vector.reverse_nth_zero Vector.reverse_get_zero
section Scan
variable {β : Type*}
variable (f : β → α → β) (b : β)
variable (v : Vector α n)
def scanl : Vector β (n + 1) :=
⟨List.scanl f b v.toList, by rw [List.length_scanl, toList_length]⟩
#align vector.scanl Vector.scanl
@[simp]
theorem scanl_nil : scanl f b nil = b ::ᵥ nil :=
rfl
#align vector.scanl_nil Vector.scanl_nil
@[simp]
theorem scanl_cons (x : α) : scanl f b (x ::ᵥ v) = b ::ᵥ scanl f (f b x) v := by
simp only [scanl, toList_cons, List.scanl]; dsimp
simp only [cons]; rfl
#align vector.scanl_cons Vector.scanl_cons
@[simp]
theorem scanl_val : ∀ {v : Vector α n}, (scanl f b v).val = List.scanl f b v.val
| _ => rfl
#align vector.scanl_val Vector.scanl_val
@[simp]
theorem toList_scanl : (scanl f b v).toList = List.scanl f b v.toList :=
rfl
#align vector.to_list_scanl Vector.toList_scanl
@[simp]
theorem scanl_singleton (v : Vector α 1) : scanl f b v = b ::ᵥ f b v.head ::ᵥ nil := by
rw [← cons_head_tail v]
simp only [scanl_cons, scanl_nil, head_cons, singleton_tail]
#align vector.scanl_singleton Vector.scanl_singleton
@[simp]
| Mathlib/Data/Vector/Basic.lean | 366 | 372 | theorem scanl_head : (scanl f b v).head = b := by |
cases n
· have : v = nil := by simp only [Nat.zero_eq, eq_iff_true_of_subsingleton]
simp only [this, scanl_nil, head_cons]
· rw [← cons_head_tail v]
simp only [← get_zero, get_eq_get, toList_scanl, toList_cons, List.scanl, Fin.val_zero,
List.get]
|
import Mathlib.LinearAlgebra.Matrix.Charpoly.Coeff
import Mathlib.FieldTheory.Finite.Basic
import Mathlib.Data.Matrix.CharP
#align_import linear_algebra.matrix.charpoly.finite_field from "leanprover-community/mathlib"@"b95b8c7a484a298228805c72c142f6b062eb0d70"
noncomputable section
open Polynomial Matrix
open scoped Polynomial
variable {n : Type*} [DecidableEq n] [Fintype n]
@[simp]
theorem FiniteField.Matrix.charpoly_pow_card {K : Type*} [Field K] [Fintype K] (M : Matrix n n K) :
(M ^ Fintype.card K).charpoly = M.charpoly := by
cases (isEmpty_or_nonempty n).symm
· cases' CharP.exists K with p hp; letI := hp
rcases FiniteField.card K p with ⟨⟨k, kpos⟩, ⟨hp, hk⟩⟩
haveI : Fact p.Prime := ⟨hp⟩
dsimp at hk; rw [hk]
apply (frobenius_inj K[X] p).iterate k
repeat' rw [iterate_frobenius (R := K[X])]; rw [← hk]
rw [← FiniteField.expand_card]
unfold charpoly
rw [AlgHom.map_det, ← coe_detMonoidHom, ← (detMonoidHom : Matrix n n K[X] →* K[X]).map_pow]
apply congr_arg det
refine matPolyEquiv.injective ?_
rw [AlgEquiv.map_pow, matPolyEquiv_charmatrix, hk, sub_pow_char_pow_of_commute, ← C_pow]
· exact (id (matPolyEquiv_eq_X_pow_sub_C (p ^ k) M) : _)
· exact (C M).commute_X
· exact congr_arg _ (Subsingleton.elim _ _)
#align finite_field.matrix.charpoly_pow_card FiniteField.Matrix.charpoly_pow_card
@[simp]
theorem ZMod.charpoly_pow_card {p : ℕ} [Fact p.Prime] (M : Matrix n n (ZMod p)) :
(M ^ p).charpoly = M.charpoly := by
have h := FiniteField.Matrix.charpoly_pow_card M
rwa [ZMod.card] at h
#align zmod.charpoly_pow_card ZMod.charpoly_pow_card
theorem FiniteField.trace_pow_card {K : Type*} [Field K] [Fintype K] (M : Matrix n n K) :
trace (M ^ Fintype.card K) = trace M ^ Fintype.card K := by
cases isEmpty_or_nonempty n
· simp [Matrix.trace]
rw [Matrix.trace_eq_neg_charpoly_coeff, Matrix.trace_eq_neg_charpoly_coeff,
FiniteField.Matrix.charpoly_pow_card, FiniteField.pow_card]
#align finite_field.trace_pow_card FiniteField.trace_pow_card
| Mathlib/LinearAlgebra/Matrix/Charpoly/FiniteField.lean | 61 | 62 | theorem ZMod.trace_pow_card {p : ℕ} [Fact p.Prime] (M : Matrix n n (ZMod p)) :
trace (M ^ p) = trace M ^ p := by | have h := FiniteField.trace_pow_card M; rwa [ZMod.card] at h
|
import Mathlib.Data.List.Infix
#align_import data.list.rdrop from "leanprover-community/mathlib"@"26f081a2fb920140ed5bc5cc5344e84bcc7cb2b2"
-- Make sure we don't import algebra
assert_not_exists Monoid
variable {α : Type*} (p : α → Bool) (l : List α) (n : ℕ)
namespace List
def rdrop : List α :=
l.take (l.length - n)
#align list.rdrop List.rdrop
@[simp]
theorem rdrop_nil : rdrop ([] : List α) n = [] := by simp [rdrop]
#align list.rdrop_nil List.rdrop_nil
@[simp]
theorem rdrop_zero : rdrop l 0 = l := by simp [rdrop]
#align list.rdrop_zero List.rdrop_zero
theorem rdrop_eq_reverse_drop_reverse : l.rdrop n = reverse (l.reverse.drop n) := by
rw [rdrop]
induction' l using List.reverseRecOn with xs x IH generalizing n
· simp
· cases n
· simp [take_append]
· simp [take_append_eq_append_take, IH]
#align list.rdrop_eq_reverse_drop_reverse List.rdrop_eq_reverse_drop_reverse
@[simp]
theorem rdrop_concat_succ (x : α) : rdrop (l ++ [x]) (n + 1) = rdrop l n := by
simp [rdrop_eq_reverse_drop_reverse]
#align list.rdrop_concat_succ List.rdrop_concat_succ
def rtake : List α :=
l.drop (l.length - n)
#align list.rtake List.rtake
@[simp]
theorem rtake_nil : rtake ([] : List α) n = [] := by simp [rtake]
#align list.rtake_nil List.rtake_nil
@[simp]
theorem rtake_zero : rtake l 0 = [] := by simp [rtake]
#align list.rtake_zero List.rtake_zero
theorem rtake_eq_reverse_take_reverse : l.rtake n = reverse (l.reverse.take n) := by
rw [rtake]
induction' l using List.reverseRecOn with xs x IH generalizing n
· simp
· cases n
· exact drop_length _
· simp [drop_append_eq_append_drop, IH]
#align list.rtake_eq_reverse_take_reverse List.rtake_eq_reverse_take_reverse
@[simp]
theorem rtake_concat_succ (x : α) : rtake (l ++ [x]) (n + 1) = rtake l n ++ [x] := by
simp [rtake_eq_reverse_take_reverse]
#align list.rtake_concat_succ List.rtake_concat_succ
def rdropWhile : List α :=
reverse (l.reverse.dropWhile p)
#align list.rdrop_while List.rdropWhile
@[simp]
theorem rdropWhile_nil : rdropWhile p ([] : List α) = [] := by simp [rdropWhile, dropWhile]
#align list.rdrop_while_nil List.rdropWhile_nil
theorem rdropWhile_concat (x : α) :
rdropWhile p (l ++ [x]) = if p x then rdropWhile p l else l ++ [x] := by
simp only [rdropWhile, dropWhile, reverse_append, reverse_singleton, singleton_append]
split_ifs with h <;> simp [h]
#align list.rdrop_while_concat List.rdropWhile_concat
@[simp]
theorem rdropWhile_concat_pos (x : α) (h : p x) : rdropWhile p (l ++ [x]) = rdropWhile p l := by
rw [rdropWhile_concat, if_pos h]
#align list.rdrop_while_concat_pos List.rdropWhile_concat_pos
@[simp]
theorem rdropWhile_concat_neg (x : α) (h : ¬p x) : rdropWhile p (l ++ [x]) = l ++ [x] := by
rw [rdropWhile_concat, if_neg h]
#align list.rdrop_while_concat_neg List.rdropWhile_concat_neg
theorem rdropWhile_singleton (x : α) : rdropWhile p [x] = if p x then [] else [x] := by
rw [← nil_append [x], rdropWhile_concat, rdropWhile_nil]
#align list.rdrop_while_singleton List.rdropWhile_singleton
theorem rdropWhile_last_not (hl : l.rdropWhile p ≠ []) : ¬p ((rdropWhile p l).getLast hl) := by
simp_rw [rdropWhile]
rw [getLast_reverse]
exact dropWhile_nthLe_zero_not _ _ _
#align list.rdrop_while_last_not List.rdropWhile_last_not
theorem rdropWhile_prefix : l.rdropWhile p <+: l := by
rw [← reverse_suffix, rdropWhile, reverse_reverse]
exact dropWhile_suffix _
#align list.rdrop_while_prefix List.rdropWhile_prefix
variable {p} {l}
@[simp]
theorem rdropWhile_eq_nil_iff : rdropWhile p l = [] ↔ ∀ x ∈ l, p x := by simp [rdropWhile]
#align list.rdrop_while_eq_nil_iff List.rdropWhile_eq_nil_iff
-- it is in this file because it requires `List.Infix`
@[simp]
| Mathlib/Data/List/DropRight.lean | 144 | 160 | theorem dropWhile_eq_self_iff : dropWhile p l = l ↔ ∀ hl : 0 < l.length, ¬p (l.get ⟨0, hl⟩) := by |
cases' l with hd tl
· simp only [dropWhile, true_iff]
intro h
by_contra
rwa [length_nil, lt_self_iff_false] at h
· rw [dropWhile]
refine ⟨fun h => ?_, fun h => ?_⟩
· intro _ H
rw [get] at H
refine (cons_ne_self hd tl) (Sublist.antisymm ?_ (sublist_cons _ _))
rw [← h]
simp only [H]
exact List.IsSuffix.sublist (dropWhile_suffix p)
· have := h (by simp only [length, Nat.succ_pos])
rw [get] at this
simp_rw [this]
|
import Mathlib.MeasureTheory.Measure.Restrict
open scoped ENNReal NNReal Topology
open Set MeasureTheory Measure Filter Function MeasurableSpace ENNReal
variable {α β δ ι : Type*}
namespace MeasureTheory
variable {m0 : MeasurableSpace α} [MeasurableSpace β] {μ ν ν₁ ν₂: Measure α}
{s t : Set α}
section IsFiniteMeasure
class IsFiniteMeasure (μ : Measure α) : Prop where
measure_univ_lt_top : μ univ < ∞
#align measure_theory.is_finite_measure MeasureTheory.IsFiniteMeasure
#align measure_theory.is_finite_measure.measure_univ_lt_top MeasureTheory.IsFiniteMeasure.measure_univ_lt_top
theorem not_isFiniteMeasure_iff : ¬IsFiniteMeasure μ ↔ μ Set.univ = ∞ := by
refine ⟨fun h => ?_, fun h => fun h' => h'.measure_univ_lt_top.ne h⟩
by_contra h'
exact h ⟨lt_top_iff_ne_top.mpr h'⟩
#align measure_theory.not_is_finite_measure_iff MeasureTheory.not_isFiniteMeasure_iff
instance Restrict.isFiniteMeasure (μ : Measure α) [hs : Fact (μ s < ∞)] :
IsFiniteMeasure (μ.restrict s) :=
⟨by simpa using hs.elim⟩
#align measure_theory.restrict.is_finite_measure MeasureTheory.Restrict.isFiniteMeasure
theorem measure_lt_top (μ : Measure α) [IsFiniteMeasure μ] (s : Set α) : μ s < ∞ :=
(measure_mono (subset_univ s)).trans_lt IsFiniteMeasure.measure_univ_lt_top
#align measure_theory.measure_lt_top MeasureTheory.measure_lt_top
instance isFiniteMeasureRestrict (μ : Measure α) (s : Set α) [h : IsFiniteMeasure μ] :
IsFiniteMeasure (μ.restrict s) :=
⟨by simpa using measure_lt_top μ s⟩
#align measure_theory.is_finite_measure_restrict MeasureTheory.isFiniteMeasureRestrict
theorem measure_ne_top (μ : Measure α) [IsFiniteMeasure μ] (s : Set α) : μ s ≠ ∞ :=
ne_of_lt (measure_lt_top μ s)
#align measure_theory.measure_ne_top MeasureTheory.measure_ne_top
theorem measure_compl_le_add_of_le_add [IsFiniteMeasure μ] (hs : MeasurableSet s)
(ht : MeasurableSet t) {ε : ℝ≥0∞} (h : μ s ≤ μ t + ε) : μ tᶜ ≤ μ sᶜ + ε := by
rw [measure_compl ht (measure_ne_top μ _), measure_compl hs (measure_ne_top μ _),
tsub_le_iff_right]
calc
μ univ = μ univ - μ s + μ s := (tsub_add_cancel_of_le <| measure_mono s.subset_univ).symm
_ ≤ μ univ - μ s + (μ t + ε) := add_le_add_left h _
_ = _ := by rw [add_right_comm, add_assoc]
#align measure_theory.measure_compl_le_add_of_le_add MeasureTheory.measure_compl_le_add_of_le_add
theorem measure_compl_le_add_iff [IsFiniteMeasure μ] (hs : MeasurableSet s) (ht : MeasurableSet t)
{ε : ℝ≥0∞} : μ sᶜ ≤ μ tᶜ + ε ↔ μ t ≤ μ s + ε :=
⟨fun h => compl_compl s ▸ compl_compl t ▸ measure_compl_le_add_of_le_add hs.compl ht.compl h,
measure_compl_le_add_of_le_add ht hs⟩
#align measure_theory.measure_compl_le_add_iff MeasureTheory.measure_compl_le_add_iff
def measureUnivNNReal (μ : Measure α) : ℝ≥0 :=
(μ univ).toNNReal
#align measure_theory.measure_univ_nnreal MeasureTheory.measureUnivNNReal
@[simp]
theorem coe_measureUnivNNReal (μ : Measure α) [IsFiniteMeasure μ] :
↑(measureUnivNNReal μ) = μ univ :=
ENNReal.coe_toNNReal (measure_ne_top μ univ)
#align measure_theory.coe_measure_univ_nnreal MeasureTheory.coe_measureUnivNNReal
instance isFiniteMeasureZero : IsFiniteMeasure (0 : Measure α) :=
⟨by simp⟩
#align measure_theory.is_finite_measure_zero MeasureTheory.isFiniteMeasureZero
instance (priority := 50) isFiniteMeasureOfIsEmpty [IsEmpty α] : IsFiniteMeasure μ := by
rw [eq_zero_of_isEmpty μ]
infer_instance
#align measure_theory.is_finite_measure_of_is_empty MeasureTheory.isFiniteMeasureOfIsEmpty
@[simp]
theorem measureUnivNNReal_zero : measureUnivNNReal (0 : Measure α) = 0 :=
rfl
#align measure_theory.measure_univ_nnreal_zero MeasureTheory.measureUnivNNReal_zero
instance isFiniteMeasureAdd [IsFiniteMeasure μ] [IsFiniteMeasure ν] : IsFiniteMeasure (μ + ν) where
measure_univ_lt_top := by
rw [Measure.coe_add, Pi.add_apply, ENNReal.add_lt_top]
exact ⟨measure_lt_top _ _, measure_lt_top _ _⟩
#align measure_theory.is_finite_measure_add MeasureTheory.isFiniteMeasureAdd
instance isFiniteMeasureSMulNNReal [IsFiniteMeasure μ] {r : ℝ≥0} : IsFiniteMeasure (r • μ) where
measure_univ_lt_top := ENNReal.mul_lt_top ENNReal.coe_ne_top (measure_ne_top _ _)
#align measure_theory.is_finite_measure_smul_nnreal MeasureTheory.isFiniteMeasureSMulNNReal
instance IsFiniteMeasure.average : IsFiniteMeasure ((μ univ)⁻¹ • μ) where
measure_univ_lt_top := by
rw [smul_apply, smul_eq_mul, ← ENNReal.div_eq_inv_mul]
exact ENNReal.div_self_le_one.trans_lt ENNReal.one_lt_top
instance isFiniteMeasureSMulOfNNRealTower {R} [SMul R ℝ≥0] [SMul R ℝ≥0∞] [IsScalarTower R ℝ≥0 ℝ≥0∞]
[IsScalarTower R ℝ≥0∞ ℝ≥0∞] [IsFiniteMeasure μ] {r : R} : IsFiniteMeasure (r • μ) := by
rw [← smul_one_smul ℝ≥0 r μ]
infer_instance
#align measure_theory.is_finite_measure_smul_of_nnreal_tower MeasureTheory.isFiniteMeasureSMulOfNNRealTower
theorem isFiniteMeasure_of_le (μ : Measure α) [IsFiniteMeasure μ] (h : ν ≤ μ) : IsFiniteMeasure ν :=
{ measure_univ_lt_top := (h Set.univ).trans_lt (measure_lt_top _ _) }
#align measure_theory.is_finite_measure_of_le MeasureTheory.isFiniteMeasure_of_le
@[instance]
theorem Measure.isFiniteMeasure_map {m : MeasurableSpace α} (μ : Measure α) [IsFiniteMeasure μ]
(f : α → β) : IsFiniteMeasure (μ.map f) := by
by_cases hf : AEMeasurable f μ
· constructor
rw [map_apply_of_aemeasurable hf MeasurableSet.univ]
exact measure_lt_top μ _
· rw [map_of_not_aemeasurable hf]
exact MeasureTheory.isFiniteMeasureZero
#align measure_theory.measure.is_finite_measure_map MeasureTheory.Measure.isFiniteMeasure_map
@[simp]
theorem measureUnivNNReal_eq_zero [IsFiniteMeasure μ] : measureUnivNNReal μ = 0 ↔ μ = 0 := by
rw [← MeasureTheory.Measure.measure_univ_eq_zero, ← coe_measureUnivNNReal]
norm_cast
#align measure_theory.measure_univ_nnreal_eq_zero MeasureTheory.measureUnivNNReal_eq_zero
| Mathlib/MeasureTheory/Measure/Typeclasses.lean | 148 | 150 | theorem measureUnivNNReal_pos [IsFiniteMeasure μ] (hμ : μ ≠ 0) : 0 < measureUnivNNReal μ := by |
contrapose! hμ
simpa [measureUnivNNReal_eq_zero, Nat.le_zero] using hμ
|
import Mathlib.Data.Int.Range
import Mathlib.Data.ZMod.Basic
import Mathlib.NumberTheory.MulChar.Basic
#align_import number_theory.legendre_symbol.zmod_char from "leanprover-community/mathlib"@"70fd9563a21e7b963887c9360bd29b2393e6225a"
namespace ZMod
section QuadCharModP
@[simps]
def χ₄ : MulChar (ZMod 4) ℤ where
toFun := (![0, 1, 0, -1] : ZMod 4 → ℤ)
map_one' := rfl
map_mul' := by decide
map_nonunit' := by decide
#align zmod.χ₄ ZMod.χ₄
theorem isQuadratic_χ₄ : χ₄.IsQuadratic := by
intro a
-- Porting note (#11043): was `decide!`
fin_cases a
all_goals decide
#align zmod.is_quadratic_χ₄ ZMod.isQuadratic_χ₄
theorem χ₄_nat_mod_four (n : ℕ) : χ₄ n = χ₄ (n % 4 : ℕ) := by rw [← ZMod.natCast_mod n 4]
#align zmod.χ₄_nat_mod_four ZMod.χ₄_nat_mod_four
theorem χ₄_int_mod_four (n : ℤ) : χ₄ n = χ₄ (n % 4 : ℤ) := by
rw [← ZMod.intCast_mod n 4]
norm_cast
#align zmod.χ₄_int_mod_four ZMod.χ₄_int_mod_four
theorem χ₄_int_eq_if_mod_four (n : ℤ) :
χ₄ n = if n % 2 = 0 then 0 else if n % 4 = 1 then 1 else -1 := by
have help : ∀ m : ℤ, 0 ≤ m → m < 4 → χ₄ m = if m % 2 = 0 then 0 else if m = 1 then 1 else -1 := by
decide
rw [← Int.emod_emod_of_dvd n (by decide : (2 : ℤ) ∣ 4), ← ZMod.intCast_mod n 4]
exact help (n % 4) (Int.emod_nonneg n (by norm_num)) (Int.emod_lt n (by norm_num))
#align zmod.χ₄_int_eq_if_mod_four ZMod.χ₄_int_eq_if_mod_four
theorem χ₄_nat_eq_if_mod_four (n : ℕ) :
χ₄ n = if n % 2 = 0 then 0 else if n % 4 = 1 then 1 else -1 :=
mod_cast χ₄_int_eq_if_mod_four n
#align zmod.χ₄_nat_eq_if_mod_four ZMod.χ₄_nat_eq_if_mod_four
theorem χ₄_eq_neg_one_pow {n : ℕ} (hn : n % 2 = 1) : χ₄ n = (-1) ^ (n / 2) := by
rw [χ₄_nat_eq_if_mod_four]
simp only [hn, Nat.one_ne_zero, if_false]
conv_rhs => -- Porting note: was `nth_rw`
arg 2; rw [← Nat.div_add_mod n 4]
enter [1, 1, 1]; rw [(by norm_num : 4 = 2 * 2)]
rw [mul_assoc, add_comm, Nat.add_mul_div_left _ _ (by norm_num : 0 < 2), pow_add, pow_mul,
neg_one_sq, one_pow, mul_one]
have help : ∀ m : ℕ, m < 4 → m % 2 = 1 → ite (m = 1) (1 : ℤ) (-1) = (-1) ^ (m / 2) := by decide
exact
help (n % 4) (Nat.mod_lt n (by norm_num))
((Nat.mod_mod_of_dvd n (by decide : 2 ∣ 4)).trans hn)
#align zmod.χ₄_eq_neg_one_pow ZMod.χ₄_eq_neg_one_pow
theorem χ₄_nat_one_mod_four {n : ℕ} (hn : n % 4 = 1) : χ₄ n = 1 := by
rw [χ₄_nat_mod_four, hn]
rfl
#align zmod.χ₄_nat_one_mod_four ZMod.χ₄_nat_one_mod_four
theorem χ₄_nat_three_mod_four {n : ℕ} (hn : n % 4 = 3) : χ₄ n = -1 := by
rw [χ₄_nat_mod_four, hn]
rfl
#align zmod.χ₄_nat_three_mod_four ZMod.χ₄_nat_three_mod_four
theorem χ₄_int_one_mod_four {n : ℤ} (hn : n % 4 = 1) : χ₄ n = 1 := by
rw [χ₄_int_mod_four, hn]
rfl
#align zmod.χ₄_int_one_mod_four ZMod.χ₄_int_one_mod_four
theorem χ₄_int_three_mod_four {n : ℤ} (hn : n % 4 = 3) : χ₄ n = -1 := by
rw [χ₄_int_mod_four, hn]
rfl
#align zmod.χ₄_int_three_mod_four ZMod.χ₄_int_three_mod_four
theorem neg_one_pow_div_two_of_one_mod_four {n : ℕ} (hn : n % 4 = 1) : (-1 : ℤ) ^ (n / 2) = 1 := by
rw [← χ₄_eq_neg_one_pow (Nat.odd_of_mod_four_eq_one hn), ← natCast_mod, hn]
rfl
#align zmod.neg_one_pow_div_two_of_one_mod_four ZMod.neg_one_pow_div_two_of_one_mod_four
theorem neg_one_pow_div_two_of_three_mod_four {n : ℕ} (hn : n % 4 = 3) :
(-1 : ℤ) ^ (n / 2) = -1 := by
rw [← χ₄_eq_neg_one_pow (Nat.odd_of_mod_four_eq_three hn), ← natCast_mod, hn]
rfl
#align zmod.neg_one_pow_div_two_of_three_mod_four ZMod.neg_one_pow_div_two_of_three_mod_four
@[simps]
def χ₈ : MulChar (ZMod 8) ℤ where
toFun := (![0, 1, 0, -1, 0, -1, 0, 1] : ZMod 8 → ℤ)
map_one' := rfl
map_mul' := by decide
map_nonunit' := by decide
#align zmod.χ₈ ZMod.χ₈
theorem isQuadratic_χ₈ : χ₈.IsQuadratic := by
intro a
-- Porting note: was `decide!`
fin_cases a
all_goals decide
#align zmod.is_quadratic_χ₈ ZMod.isQuadratic_χ₈
theorem χ₈_nat_mod_eight (n : ℕ) : χ₈ n = χ₈ (n % 8 : ℕ) := by rw [← ZMod.natCast_mod n 8]
#align zmod.χ₈_nat_mod_eight ZMod.χ₈_nat_mod_eight
theorem χ₈_int_mod_eight (n : ℤ) : χ₈ n = χ₈ (n % 8 : ℤ) := by
rw [← ZMod.intCast_mod n 8]
norm_cast
#align zmod.χ₈_int_mod_eight ZMod.χ₈_int_mod_eight
theorem χ₈_int_eq_if_mod_eight (n : ℤ) :
χ₈ n = if n % 2 = 0 then 0 else if n % 8 = 1 ∨ n % 8 = 7 then 1 else -1 := by
have help :
∀ m : ℤ, 0 ≤ m → m < 8 → χ₈ m = if m % 2 = 0 then 0 else if m = 1 ∨ m = 7 then 1 else -1 := by
decide
rw [← Int.emod_emod_of_dvd n (by decide : (2 : ℤ) ∣ 8), ← ZMod.intCast_mod n 8]
exact help (n % 8) (Int.emod_nonneg n (by norm_num)) (Int.emod_lt n (by norm_num))
#align zmod.χ₈_int_eq_if_mod_eight ZMod.χ₈_int_eq_if_mod_eight
theorem χ₈_nat_eq_if_mod_eight (n : ℕ) :
χ₈ n = if n % 2 = 0 then 0 else if n % 8 = 1 ∨ n % 8 = 7 then 1 else -1 :=
mod_cast χ₈_int_eq_if_mod_eight n
#align zmod.χ₈_nat_eq_if_mod_eight ZMod.χ₈_nat_eq_if_mod_eight
@[simps]
def χ₈' : MulChar (ZMod 8) ℤ where
toFun := (![0, 1, 0, 1, 0, -1, 0, -1] : ZMod 8 → ℤ)
map_one' := rfl
map_mul' := by decide
map_nonunit' := by decide
#align zmod.χ₈' ZMod.χ₈'
theorem isQuadratic_χ₈' : χ₈'.IsQuadratic := by
intro a
-- Porting note: was `decide!`
fin_cases a
all_goals decide
#align zmod.is_quadratic_χ₈' ZMod.isQuadratic_χ₈'
theorem χ₈'_int_eq_if_mod_eight (n : ℤ) :
χ₈' n = if n % 2 = 0 then 0 else if n % 8 = 1 ∨ n % 8 = 3 then 1 else -1 := by
have help :
∀ m : ℤ, 0 ≤ m → m < 8 → χ₈' m = if m % 2 = 0 then 0 else if m = 1 ∨ m = 3 then 1 else -1 := by
decide
rw [← Int.emod_emod_of_dvd n (by decide : (2 : ℤ) ∣ 8), ← ZMod.intCast_mod n 8]
exact help (n % 8) (Int.emod_nonneg n (by norm_num)) (Int.emod_lt n (by norm_num))
#align zmod.χ₈'_int_eq_if_mod_eight ZMod.χ₈'_int_eq_if_mod_eight
theorem χ₈'_nat_eq_if_mod_eight (n : ℕ) :
χ₈' n = if n % 2 = 0 then 0 else if n % 8 = 1 ∨ n % 8 = 3 then 1 else -1 :=
mod_cast χ₈'_int_eq_if_mod_eight n
#align zmod.χ₈'_nat_eq_if_mod_eight ZMod.χ₈'_nat_eq_if_mod_eight
| Mathlib/NumberTheory/LegendreSymbol/ZModChar.lean | 208 | 211 | theorem χ₈'_eq_χ₄_mul_χ₈ (a : ZMod 8) : χ₈' a = χ₄ (cast a) * χ₈ a := by |
-- Porting note: was `decide!`
fin_cases a
all_goals decide
|
import Mathlib.Tactic.ApplyFun
import Mathlib.Topology.UniformSpace.Basic
import Mathlib.Topology.Separation
#align_import topology.uniform_space.separation from "leanprover-community/mathlib"@"0c1f285a9f6e608ae2bdffa3f993eafb01eba829"
open Filter Set Function Topology Uniformity UniformSpace
open scoped Classical
noncomputable section
universe u v w
variable {α : Type u} {β : Type v} {γ : Type w}
variable [UniformSpace α] [UniformSpace β] [UniformSpace γ]
instance (priority := 100) UniformSpace.to_regularSpace : RegularSpace α :=
.of_hasBasis
(fun _ ↦ nhds_basis_uniformity' uniformity_hasBasis_closed)
fun a _V hV ↦ isClosed_ball a hV.2
#align uniform_space.to_regular_space UniformSpace.to_regularSpace
#align separation_rel Inseparable
#noalign separated_equiv
#align separation_rel_iff_specializes specializes_iff_inseparable
#noalign separation_rel_iff_inseparable
theorem Filter.HasBasis.specializes_iff_uniformity {ι : Sort*} {p : ι → Prop} {s : ι → Set (α × α)}
(h : (𝓤 α).HasBasis p s) {x y : α} : x ⤳ y ↔ ∀ i, p i → (x, y) ∈ s i :=
(nhds_basis_uniformity h).specializes_iff
theorem Filter.HasBasis.inseparable_iff_uniformity {ι : Sort*} {p : ι → Prop} {s : ι → Set (α × α)}
(h : (𝓤 α).HasBasis p s) {x y : α} : Inseparable x y ↔ ∀ i, p i → (x, y) ∈ s i :=
specializes_iff_inseparable.symm.trans h.specializes_iff_uniformity
#align filter.has_basis.mem_separation_rel Filter.HasBasis.inseparable_iff_uniformity
theorem inseparable_iff_ker_uniformity {x y : α} : Inseparable x y ↔ (x, y) ∈ (𝓤 α).ker :=
(𝓤 α).basis_sets.inseparable_iff_uniformity
protected theorem Inseparable.nhds_le_uniformity {x y : α} (h : Inseparable x y) :
𝓝 (x, y) ≤ 𝓤 α := by
rw [h.prod rfl]
apply nhds_le_uniformity
theorem inseparable_iff_clusterPt_uniformity {x y : α} :
Inseparable x y ↔ ClusterPt (x, y) (𝓤 α) := by
refine ⟨fun h ↦ .of_nhds_le h.nhds_le_uniformity, fun h ↦ ?_⟩
simp_rw [uniformity_hasBasis_closed.inseparable_iff_uniformity, isClosed_iff_clusterPt]
exact fun U ⟨hU, hUc⟩ ↦ hUc _ <| h.mono <| le_principal_iff.2 hU
#align separated_space T0Space
theorem t0Space_iff_uniformity :
T0Space α ↔ ∀ x y, (∀ r ∈ 𝓤 α, (x, y) ∈ r) → x = y := by
simp only [t0Space_iff_inseparable, inseparable_iff_ker_uniformity, mem_ker, id]
#align separated_def t0Space_iff_uniformity
| Mathlib/Topology/UniformSpace/Separation.lean | 155 | 157 | theorem t0Space_iff_uniformity' :
T0Space α ↔ Pairwise fun x y ↦ ∃ r ∈ 𝓤 α, (x, y) ∉ r := by |
simp [t0Space_iff_not_inseparable, inseparable_iff_ker_uniformity]
|
import Mathlib.Algebra.Order.Ring.Nat
#align_import data.nat.dist from "leanprover-community/mathlib"@"d50b12ae8e2bd910d08a94823976adae9825718b"
namespace Nat
def dist (n m : ℕ) :=
n - m + (m - n)
#align nat.dist Nat.dist
-- Should be aligned to `Nat.dist.eq_def`, but that is generated on demand and isn't present yet.
#noalign nat.dist.def
theorem dist_comm (n m : ℕ) : dist n m = dist m n := by simp [dist, add_comm]
#align nat.dist_comm Nat.dist_comm
@[simp]
theorem dist_self (n : ℕ) : dist n n = 0 := by simp [dist, tsub_self]
#align nat.dist_self Nat.dist_self
theorem eq_of_dist_eq_zero {n m : ℕ} (h : dist n m = 0) : n = m :=
have : n - m = 0 := Nat.eq_zero_of_add_eq_zero_right h
have : n ≤ m := tsub_eq_zero_iff_le.mp this
have : m - n = 0 := Nat.eq_zero_of_add_eq_zero_left h
have : m ≤ n := tsub_eq_zero_iff_le.mp this
le_antisymm ‹n ≤ m› ‹m ≤ n›
#align nat.eq_of_dist_eq_zero Nat.eq_of_dist_eq_zero
theorem dist_eq_zero {n m : ℕ} (h : n = m) : dist n m = 0 := by rw [h, dist_self]
#align nat.dist_eq_zero Nat.dist_eq_zero
theorem dist_eq_sub_of_le {n m : ℕ} (h : n ≤ m) : dist n m = m - n := by
rw [dist, tsub_eq_zero_iff_le.mpr h, zero_add]
#align nat.dist_eq_sub_of_le Nat.dist_eq_sub_of_le
theorem dist_eq_sub_of_le_right {n m : ℕ} (h : m ≤ n) : dist n m = n - m := by
rw [dist_comm]; apply dist_eq_sub_of_le h
#align nat.dist_eq_sub_of_le_right Nat.dist_eq_sub_of_le_right
theorem dist_tri_left (n m : ℕ) : m ≤ dist n m + n :=
le_trans le_tsub_add (add_le_add_right (Nat.le_add_left _ _) _)
#align nat.dist_tri_left Nat.dist_tri_left
theorem dist_tri_right (n m : ℕ) : m ≤ n + dist n m := by rw [add_comm]; apply dist_tri_left
#align nat.dist_tri_right Nat.dist_tri_right
theorem dist_tri_left' (n m : ℕ) : n ≤ dist n m + m := by rw [dist_comm]; apply dist_tri_left
#align nat.dist_tri_left' Nat.dist_tri_left'
theorem dist_tri_right' (n m : ℕ) : n ≤ m + dist n m := by rw [dist_comm]; apply dist_tri_right
#align nat.dist_tri_right' Nat.dist_tri_right'
theorem dist_zero_right (n : ℕ) : dist n 0 = n :=
Eq.trans (dist_eq_sub_of_le_right (zero_le n)) (tsub_zero n)
#align nat.dist_zero_right Nat.dist_zero_right
theorem dist_zero_left (n : ℕ) : dist 0 n = n :=
Eq.trans (dist_eq_sub_of_le (zero_le n)) (tsub_zero n)
#align nat.dist_zero_left Nat.dist_zero_left
theorem dist_add_add_right (n k m : ℕ) : dist (n + k) (m + k) = dist n m :=
calc
dist (n + k) (m + k) = n + k - (m + k) + (m + k - (n + k)) := rfl
_ = n - m + (m + k - (n + k)) := by rw [@add_tsub_add_eq_tsub_right]
_ = n - m + (m - n) := by rw [@add_tsub_add_eq_tsub_right]
#align nat.dist_add_add_right Nat.dist_add_add_right
| Mathlib/Data/Nat/Dist.lean | 81 | 82 | theorem dist_add_add_left (k n m : ℕ) : dist (k + n) (k + m) = dist n m := by |
rw [add_comm k n, add_comm k m]; apply dist_add_add_right
|
import Mathlib.CategoryTheory.Functor.FullyFaithful
import Mathlib.CategoryTheory.FullSubcategory
import Mathlib.CategoryTheory.Whiskering
import Mathlib.CategoryTheory.EssentialImage
import Mathlib.Tactic.CategoryTheory.Slice
#align_import category_theory.equivalence from "leanprover-community/mathlib"@"9aba7801eeecebb61f58a5763c2b6dd1b47dc6ef"
namespace CategoryTheory
open CategoryTheory.Functor NatIso Category
-- declare the `v`'s first; see `CategoryTheory.Category` for an explanation
universe v₁ v₂ v₃ u₁ u₂ u₃
@[ext]
structure Equivalence (C : Type u₁) (D : Type u₂) [Category.{v₁} C] [Category.{v₂} D] where mk' ::
functor : C ⥤ D
inverse : D ⥤ C
unitIso : 𝟭 C ≅ functor ⋙ inverse
counitIso : inverse ⋙ functor ≅ 𝟭 D
functor_unitIso_comp :
∀ X : C, functor.map (unitIso.hom.app X) ≫ counitIso.hom.app (functor.obj X) =
𝟙 (functor.obj X) := by aesop_cat
#align category_theory.equivalence CategoryTheory.Equivalence
#align category_theory.equivalence.unit_iso CategoryTheory.Equivalence.unitIso
#align category_theory.equivalence.counit_iso CategoryTheory.Equivalence.counitIso
#align category_theory.equivalence.functor_unit_iso_comp CategoryTheory.Equivalence.functor_unitIso_comp
infixr:10 " ≌ " => Equivalence
variable {C : Type u₁} [Category.{v₁} C] {D : Type u₂} [Category.{v₂} D]
namespace Equivalence
abbrev unit (e : C ≌ D) : 𝟭 C ⟶ e.functor ⋙ e.inverse :=
e.unitIso.hom
#align category_theory.equivalence.unit CategoryTheory.Equivalence.unit
abbrev counit (e : C ≌ D) : e.inverse ⋙ e.functor ⟶ 𝟭 D :=
e.counitIso.hom
#align category_theory.equivalence.counit CategoryTheory.Equivalence.counit
abbrev unitInv (e : C ≌ D) : e.functor ⋙ e.inverse ⟶ 𝟭 C :=
e.unitIso.inv
#align category_theory.equivalence.unit_inv CategoryTheory.Equivalence.unitInv
abbrev counitInv (e : C ≌ D) : 𝟭 D ⟶ e.inverse ⋙ e.functor :=
e.counitIso.inv
#align category_theory.equivalence.counit_inv CategoryTheory.Equivalence.counitInv
@[simp]
theorem Equivalence_mk'_unit (functor inverse unit_iso counit_iso f) :
(⟨functor, inverse, unit_iso, counit_iso, f⟩ : C ≌ D).unit = unit_iso.hom :=
rfl
#align category_theory.equivalence.equivalence_mk'_unit CategoryTheory.Equivalence.Equivalence_mk'_unit
@[simp]
theorem Equivalence_mk'_counit (functor inverse unit_iso counit_iso f) :
(⟨functor, inverse, unit_iso, counit_iso, f⟩ : C ≌ D).counit = counit_iso.hom :=
rfl
#align category_theory.equivalence.equivalence_mk'_counit CategoryTheory.Equivalence.Equivalence_mk'_counit
@[simp]
theorem Equivalence_mk'_unitInv (functor inverse unit_iso counit_iso f) :
(⟨functor, inverse, unit_iso, counit_iso, f⟩ : C ≌ D).unitInv = unit_iso.inv :=
rfl
#align category_theory.equivalence.equivalence_mk'_unit_inv CategoryTheory.Equivalence.Equivalence_mk'_unitInv
@[simp]
theorem Equivalence_mk'_counitInv (functor inverse unit_iso counit_iso f) :
(⟨functor, inverse, unit_iso, counit_iso, f⟩ : C ≌ D).counitInv = counit_iso.inv :=
rfl
#align category_theory.equivalence.equivalence_mk'_counit_inv CategoryTheory.Equivalence.Equivalence_mk'_counitInv
@[reassoc (attr := simp)]
theorem functor_unit_comp (e : C ≌ D) (X : C) :
e.functor.map (e.unit.app X) ≫ e.counit.app (e.functor.obj X) = 𝟙 (e.functor.obj X) :=
e.functor_unitIso_comp X
#align category_theory.equivalence.functor_unit_comp CategoryTheory.Equivalence.functor_unit_comp
@[reassoc (attr := simp)]
theorem counitInv_functor_comp (e : C ≌ D) (X : C) :
e.counitInv.app (e.functor.obj X) ≫ e.functor.map (e.unitInv.app X) = 𝟙 (e.functor.obj X) := by
erw [Iso.inv_eq_inv (e.functor.mapIso (e.unitIso.app X) ≪≫ e.counitIso.app (e.functor.obj X))
(Iso.refl _)]
exact e.functor_unit_comp X
#align category_theory.equivalence.counit_inv_functor_comp CategoryTheory.Equivalence.counitInv_functor_comp
theorem counitInv_app_functor (e : C ≌ D) (X : C) :
e.counitInv.app (e.functor.obj X) = e.functor.map (e.unit.app X) := by
symm
erw [← Iso.comp_hom_eq_id (e.counitIso.app _), functor_unit_comp]
rfl
#align category_theory.equivalence.counit_inv_app_functor CategoryTheory.Equivalence.counitInv_app_functor
theorem counit_app_functor (e : C ≌ D) (X : C) :
e.counit.app (e.functor.obj X) = e.functor.map (e.unitInv.app X) := by
erw [← Iso.hom_comp_eq_id (e.functor.mapIso (e.unitIso.app X)), functor_unit_comp]
rfl
#align category_theory.equivalence.counit_app_functor CategoryTheory.Equivalence.counit_app_functor
@[reassoc (attr := simp)]
theorem unit_inverse_comp (e : C ≌ D) (Y : D) :
e.unit.app (e.inverse.obj Y) ≫ e.inverse.map (e.counit.app Y) = 𝟙 (e.inverse.obj Y) := by
rw [← id_comp (e.inverse.map _), ← map_id e.inverse, ← counitInv_functor_comp, map_comp]
dsimp
rw [← Iso.hom_inv_id_assoc (e.unitIso.app _) (e.inverse.map (e.functor.map _)), app_hom, app_inv]
slice_lhs 2 3 => erw [e.unit.naturality]
slice_lhs 1 2 => erw [e.unit.naturality]
slice_lhs 4 4 =>
rw [← Iso.hom_inv_id_assoc (e.inverse.mapIso (e.counitIso.app _)) (e.unitInv.app _)]
slice_lhs 3 4 =>
erw [← map_comp e.inverse, e.counit.naturality]
erw [(e.counitIso.app _).hom_inv_id, map_id]
erw [id_comp]
slice_lhs 2 3 => erw [← map_comp e.inverse, e.counitIso.inv.naturality, map_comp]
slice_lhs 3 4 => erw [e.unitInv.naturality]
slice_lhs 4 5 => erw [← map_comp (e.functor ⋙ e.inverse), (e.unitIso.app _).hom_inv_id, map_id]
erw [id_comp]
slice_lhs 3 4 => erw [← e.unitInv.naturality]
slice_lhs 2 3 =>
erw [← map_comp e.inverse, ← e.counitIso.inv.naturality, (e.counitIso.app _).hom_inv_id,
map_id]
erw [id_comp, (e.unitIso.app _).hom_inv_id]; rfl
#align category_theory.equivalence.unit_inverse_comp CategoryTheory.Equivalence.unit_inverse_comp
@[reassoc (attr := simp)]
theorem inverse_counitInv_comp (e : C ≌ D) (Y : D) :
e.inverse.map (e.counitInv.app Y) ≫ e.unitInv.app (e.inverse.obj Y) = 𝟙 (e.inverse.obj Y) := by
erw [Iso.inv_eq_inv (e.unitIso.app (e.inverse.obj Y) ≪≫ e.inverse.mapIso (e.counitIso.app Y))
(Iso.refl _)]
exact e.unit_inverse_comp Y
#align category_theory.equivalence.inverse_counit_inv_comp CategoryTheory.Equivalence.inverse_counitInv_comp
theorem unit_app_inverse (e : C ≌ D) (Y : D) :
e.unit.app (e.inverse.obj Y) = e.inverse.map (e.counitInv.app Y) := by
erw [← Iso.comp_hom_eq_id (e.inverse.mapIso (e.counitIso.app Y)), unit_inverse_comp]
dsimp
#align category_theory.equivalence.unit_app_inverse CategoryTheory.Equivalence.unit_app_inverse
theorem unitInv_app_inverse (e : C ≌ D) (Y : D) :
e.unitInv.app (e.inverse.obj Y) = e.inverse.map (e.counit.app Y) := by
symm
erw [← Iso.hom_comp_eq_id (e.unitIso.app _), unit_inverse_comp]
rfl
#align category_theory.equivalence.unit_inv_app_inverse CategoryTheory.Equivalence.unitInv_app_inverse
@[reassoc, simp]
theorem fun_inv_map (e : C ≌ D) (X Y : D) (f : X ⟶ Y) :
e.functor.map (e.inverse.map f) = e.counit.app X ≫ f ≫ e.counitInv.app Y :=
(NatIso.naturality_2 e.counitIso f).symm
#align category_theory.equivalence.fun_inv_map CategoryTheory.Equivalence.fun_inv_map
@[reassoc, simp]
theorem inv_fun_map (e : C ≌ D) (X Y : C) (f : X ⟶ Y) :
e.inverse.map (e.functor.map f) = e.unitInv.app X ≫ f ≫ e.unit.app Y :=
(NatIso.naturality_1 e.unitIso f).symm
#align category_theory.equivalence.inv_fun_map CategoryTheory.Equivalence.inv_fun_map
section
-- In this section we convert an arbitrary equivalence to a half-adjoint equivalence.
variable {F : C ⥤ D} {G : D ⥤ C} (η : 𝟭 C ≅ F ⋙ G) (ε : G ⋙ F ≅ 𝟭 D)
def adjointifyη : 𝟭 C ≅ F ⋙ G := by
calc
𝟭 C ≅ F ⋙ G := η
_ ≅ F ⋙ 𝟭 D ⋙ G := isoWhiskerLeft F (leftUnitor G).symm
_ ≅ F ⋙ (G ⋙ F) ⋙ G := isoWhiskerLeft F (isoWhiskerRight ε.symm G)
_ ≅ F ⋙ G ⋙ F ⋙ G := isoWhiskerLeft F (associator G F G)
_ ≅ (F ⋙ G) ⋙ F ⋙ G := (associator F G (F ⋙ G)).symm
_ ≅ 𝟭 C ⋙ F ⋙ G := isoWhiskerRight η.symm (F ⋙ G)
_ ≅ F ⋙ G := leftUnitor (F ⋙ G)
#align category_theory.equivalence.adjointify_η CategoryTheory.Equivalence.adjointifyη
@[reassoc]
theorem adjointify_η_ε (X : C) :
F.map ((adjointifyη η ε).hom.app X) ≫ ε.hom.app (F.obj X) = 𝟙 (F.obj X) := by
dsimp [adjointifyη,Trans.trans]
simp only [comp_id, assoc, map_comp]
have := ε.hom.naturality (F.map (η.inv.app X)); dsimp at this; rw [this]; clear this
rw [← assoc _ _ (F.map _)]
have := ε.hom.naturality (ε.inv.app <| F.obj X); dsimp at this; rw [this]; clear this
have := (ε.app <| F.obj X).hom_inv_id; dsimp at this; rw [this]; clear this
rw [id_comp]; have := (F.mapIso <| η.app X).hom_inv_id; dsimp at this; rw [this]
#align category_theory.equivalence.adjointify_η_ε CategoryTheory.Equivalence.adjointify_η_ε
end
protected def mk (F : C ⥤ D) (G : D ⥤ C) (η : 𝟭 C ≅ F ⋙ G) (ε : G ⋙ F ≅ 𝟭 D) : C ≌ D :=
⟨F, G, adjointifyη η ε, ε, adjointify_η_ε η ε⟩
#align category_theory.equivalence.mk CategoryTheory.Equivalence.mk
@[refl, simps]
def refl : C ≌ C :=
⟨𝟭 C, 𝟭 C, Iso.refl _, Iso.refl _, fun _ => Category.id_comp _⟩
#align category_theory.equivalence.refl CategoryTheory.Equivalence.refl
instance : Inhabited (C ≌ C) :=
⟨refl⟩
@[symm, simps]
def symm (e : C ≌ D) : D ≌ C :=
⟨e.inverse, e.functor, e.counitIso.symm, e.unitIso.symm, e.inverse_counitInv_comp⟩
#align category_theory.equivalence.symm CategoryTheory.Equivalence.symm
variable {E : Type u₃} [Category.{v₃} E]
@[trans, simps]
def trans (e : C ≌ D) (f : D ≌ E) : C ≌ E where
functor := e.functor ⋙ f.functor
inverse := f.inverse ⋙ e.inverse
unitIso := by
refine Iso.trans e.unitIso ?_
exact isoWhiskerLeft e.functor (isoWhiskerRight f.unitIso e.inverse)
counitIso := by
refine Iso.trans ?_ f.counitIso
exact isoWhiskerLeft f.inverse (isoWhiskerRight e.counitIso f.functor)
-- We wouldn't have needed to give this proof if we'd used `Equivalence.mk`,
-- but we choose to avoid using that here, for the sake of good structure projection `simp`
-- lemmas.
functor_unitIso_comp X := by
dsimp
rw [← f.functor.map_comp_assoc, e.functor.map_comp, ← counitInv_app_functor, fun_inv_map,
Iso.inv_hom_id_app_assoc, assoc, Iso.inv_hom_id_app, counit_app_functor, ← Functor.map_comp]
erw [comp_id, Iso.hom_inv_id_app, Functor.map_id]
#align category_theory.equivalence.trans CategoryTheory.Equivalence.trans
def funInvIdAssoc (e : C ≌ D) (F : C ⥤ E) : e.functor ⋙ e.inverse ⋙ F ≅ F :=
(Functor.associator _ _ _).symm ≪≫ isoWhiskerRight e.unitIso.symm F ≪≫ F.leftUnitor
#align category_theory.equivalence.fun_inv_id_assoc CategoryTheory.Equivalence.funInvIdAssoc
@[simp]
theorem funInvIdAssoc_hom_app (e : C ≌ D) (F : C ⥤ E) (X : C) :
(funInvIdAssoc e F).hom.app X = F.map (e.unitInv.app X) := by
dsimp [funInvIdAssoc]
aesop_cat
#align category_theory.equivalence.fun_inv_id_assoc_hom_app CategoryTheory.Equivalence.funInvIdAssoc_hom_app
@[simp]
theorem funInvIdAssoc_inv_app (e : C ≌ D) (F : C ⥤ E) (X : C) :
(funInvIdAssoc e F).inv.app X = F.map (e.unit.app X) := by
dsimp [funInvIdAssoc]
aesop_cat
#align category_theory.equivalence.fun_inv_id_assoc_inv_app CategoryTheory.Equivalence.funInvIdAssoc_inv_app
def invFunIdAssoc (e : C ≌ D) (F : D ⥤ E) : e.inverse ⋙ e.functor ⋙ F ≅ F :=
(Functor.associator _ _ _).symm ≪≫ isoWhiskerRight e.counitIso F ≪≫ F.leftUnitor
#align category_theory.equivalence.inv_fun_id_assoc CategoryTheory.Equivalence.invFunIdAssoc
@[simp]
theorem invFunIdAssoc_hom_app (e : C ≌ D) (F : D ⥤ E) (X : D) :
(invFunIdAssoc e F).hom.app X = F.map (e.counit.app X) := by
dsimp [invFunIdAssoc]
aesop_cat
#align category_theory.equivalence.inv_fun_id_assoc_hom_app CategoryTheory.Equivalence.invFunIdAssoc_hom_app
@[simp]
theorem invFunIdAssoc_inv_app (e : C ≌ D) (F : D ⥤ E) (X : D) :
(invFunIdAssoc e F).inv.app X = F.map (e.counitInv.app X) := by
dsimp [invFunIdAssoc]
aesop_cat
#align category_theory.equivalence.inv_fun_id_assoc_inv_app CategoryTheory.Equivalence.invFunIdAssoc_inv_app
@[simps! functor inverse unitIso counitIso]
def congrLeft (e : C ≌ D) : C ⥤ E ≌ D ⥤ E :=
Equivalence.mk ((whiskeringLeft _ _ _).obj e.inverse) ((whiskeringLeft _ _ _).obj e.functor)
(NatIso.ofComponents fun F => (e.funInvIdAssoc F).symm)
(NatIso.ofComponents fun F => e.invFunIdAssoc F)
#align category_theory.equivalence.congr_left CategoryTheory.Equivalence.congrLeft
@[simps! functor inverse unitIso counitIso]
def congrRight (e : C ≌ D) : E ⥤ C ≌ E ⥤ D :=
Equivalence.mk ((whiskeringRight _ _ _).obj e.functor) ((whiskeringRight _ _ _).obj e.inverse)
(NatIso.ofComponents
fun F => F.rightUnitor.symm ≪≫ isoWhiskerLeft F e.unitIso ≪≫ Functor.associator _ _ _)
(NatIso.ofComponents
fun F => Functor.associator _ _ _ ≪≫ isoWhiskerLeft F e.counitIso ≪≫ F.rightUnitor)
#align category_theory.equivalence.congr_right CategoryTheory.Equivalence.congrRight
section CancellationLemmas
variable (e : C ≌ D)
@[simp]
theorem cancel_unit_right {X Y : C} (f f' : X ⟶ Y) :
f ≫ e.unit.app Y = f' ≫ e.unit.app Y ↔ f = f' := by simp only [cancel_mono]
#align category_theory.equivalence.cancel_unit_right CategoryTheory.Equivalence.cancel_unit_right
@[simp]
theorem cancel_unitInv_right {X Y : C} (f f' : X ⟶ e.inverse.obj (e.functor.obj Y)) :
f ≫ e.unitInv.app Y = f' ≫ e.unitInv.app Y ↔ f = f' := by simp only [cancel_mono]
#align category_theory.equivalence.cancel_unit_inv_right CategoryTheory.Equivalence.cancel_unitInv_right
@[simp]
| Mathlib/CategoryTheory/Equivalence.lean | 395 | 396 | theorem cancel_counit_right {X Y : D} (f f' : X ⟶ e.functor.obj (e.inverse.obj Y)) :
f ≫ e.counit.app Y = f' ≫ e.counit.app Y ↔ f = f' := by | simp only [cancel_mono]
|
import Mathlib.Algebra.Module.BigOperators
import Mathlib.Data.Fintype.BigOperators
import Mathlib.LinearAlgebra.AffineSpace.AffineMap
import Mathlib.LinearAlgebra.AffineSpace.AffineSubspace
import Mathlib.LinearAlgebra.Finsupp
import Mathlib.Tactic.FinCases
#align_import linear_algebra.affine_space.combination from "leanprover-community/mathlib"@"2de9c37fa71dde2f1c6feff19876dd6a7b1519f0"
noncomputable section
open Affine
namespace Finset
theorem univ_fin2 : (univ : Finset (Fin 2)) = {0, 1} := by
ext x
fin_cases x <;> simp
#align finset.univ_fin2 Finset.univ_fin2
variable {k : Type*} {V : Type*} {P : Type*} [Ring k] [AddCommGroup V] [Module k V]
variable [S : AffineSpace V P]
variable {ι : Type*} (s : Finset ι)
variable {ι₂ : Type*} (s₂ : Finset ι₂)
def weightedVSubOfPoint (p : ι → P) (b : P) : (ι → k) →ₗ[k] V :=
∑ i ∈ s, (LinearMap.proj i : (ι → k) →ₗ[k] k).smulRight (p i -ᵥ b)
#align finset.weighted_vsub_of_point Finset.weightedVSubOfPoint
@[simp]
theorem weightedVSubOfPoint_apply (w : ι → k) (p : ι → P) (b : P) :
s.weightedVSubOfPoint p b w = ∑ i ∈ s, w i • (p i -ᵥ b) := by
simp [weightedVSubOfPoint, LinearMap.sum_apply]
#align finset.weighted_vsub_of_point_apply Finset.weightedVSubOfPoint_apply
@[simp (high)]
theorem weightedVSubOfPoint_apply_const (w : ι → k) (p : P) (b : P) :
s.weightedVSubOfPoint (fun _ => p) b w = (∑ i ∈ s, w i) • (p -ᵥ b) := by
rw [weightedVSubOfPoint_apply, sum_smul]
#align finset.weighted_vsub_of_point_apply_const Finset.weightedVSubOfPoint_apply_const
theorem weightedVSubOfPoint_congr {w₁ w₂ : ι → k} (hw : ∀ i ∈ s, w₁ i = w₂ i) {p₁ p₂ : ι → P}
(hp : ∀ i ∈ s, p₁ i = p₂ i) (b : P) :
s.weightedVSubOfPoint p₁ b w₁ = s.weightedVSubOfPoint p₂ b w₂ := by
simp_rw [weightedVSubOfPoint_apply]
refine sum_congr rfl fun i hi => ?_
rw [hw i hi, hp i hi]
#align finset.weighted_vsub_of_point_congr Finset.weightedVSubOfPoint_congr
theorem weightedVSubOfPoint_eq_of_weights_eq (p : ι → P) (j : ι) (w₁ w₂ : ι → k)
(hw : ∀ i, i ≠ j → w₁ i = w₂ i) :
s.weightedVSubOfPoint p (p j) w₁ = s.weightedVSubOfPoint p (p j) w₂ := by
simp only [Finset.weightedVSubOfPoint_apply]
congr
ext i
rcases eq_or_ne i j with h | h
· simp [h]
· simp [hw i h]
#align finset.weighted_vsub_of_point_eq_of_weights_eq Finset.weightedVSubOfPoint_eq_of_weights_eq
theorem weightedVSubOfPoint_eq_of_sum_eq_zero (w : ι → k) (p : ι → P) (h : ∑ i ∈ s, w i = 0)
(b₁ b₂ : P) : s.weightedVSubOfPoint p b₁ w = s.weightedVSubOfPoint p b₂ w := by
apply eq_of_sub_eq_zero
rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, ← sum_sub_distrib]
conv_lhs =>
congr
· skip
· ext
rw [← smul_sub, vsub_sub_vsub_cancel_left]
rw [← sum_smul, h, zero_smul]
#align finset.weighted_vsub_of_point_eq_of_sum_eq_zero Finset.weightedVSubOfPoint_eq_of_sum_eq_zero
theorem weightedVSubOfPoint_vadd_eq_of_sum_eq_one (w : ι → k) (p : ι → P) (h : ∑ i ∈ s, w i = 1)
(b₁ b₂ : P) : s.weightedVSubOfPoint p b₁ w +ᵥ b₁ = s.weightedVSubOfPoint p b₂ w +ᵥ b₂ := by
erw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply, ← @vsub_eq_zero_iff_eq V,
vadd_vsub_assoc, vsub_vadd_eq_vsub_sub, ← add_sub_assoc, add_comm, add_sub_assoc, ←
sum_sub_distrib]
conv_lhs =>
congr
· skip
· congr
· skip
· ext
rw [← smul_sub, vsub_sub_vsub_cancel_left]
rw [← sum_smul, h, one_smul, vsub_add_vsub_cancel, vsub_self]
#align finset.weighted_vsub_of_point_vadd_eq_of_sum_eq_one Finset.weightedVSubOfPoint_vadd_eq_of_sum_eq_one
@[simp (high)]
theorem weightedVSubOfPoint_erase [DecidableEq ι] (w : ι → k) (p : ι → P) (i : ι) :
(s.erase i).weightedVSubOfPoint p (p i) w = s.weightedVSubOfPoint p (p i) w := by
rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply]
apply sum_erase
rw [vsub_self, smul_zero]
#align finset.weighted_vsub_of_point_erase Finset.weightedVSubOfPoint_erase
@[simp (high)]
theorem weightedVSubOfPoint_insert [DecidableEq ι] (w : ι → k) (p : ι → P) (i : ι) :
(insert i s).weightedVSubOfPoint p (p i) w = s.weightedVSubOfPoint p (p i) w := by
rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply]
apply sum_insert_zero
rw [vsub_self, smul_zero]
#align finset.weighted_vsub_of_point_insert Finset.weightedVSubOfPoint_insert
theorem weightedVSubOfPoint_indicator_subset (w : ι → k) (p : ι → P) (b : P) {s₁ s₂ : Finset ι}
(h : s₁ ⊆ s₂) :
s₁.weightedVSubOfPoint p b w = s₂.weightedVSubOfPoint p b (Set.indicator (↑s₁) w) := by
rw [weightedVSubOfPoint_apply, weightedVSubOfPoint_apply]
exact Eq.symm <|
sum_indicator_subset_of_eq_zero w (fun i wi => wi • (p i -ᵥ b : V)) h fun i => zero_smul k _
#align finset.weighted_vsub_of_point_indicator_subset Finset.weightedVSubOfPoint_indicator_subset
theorem weightedVSubOfPoint_map (e : ι₂ ↪ ι) (w : ι → k) (p : ι → P) (b : P) :
(s₂.map e).weightedVSubOfPoint p b w = s₂.weightedVSubOfPoint (p ∘ e) b (w ∘ e) := by
simp_rw [weightedVSubOfPoint_apply]
exact Finset.sum_map _ _ _
#align finset.weighted_vsub_of_point_map Finset.weightedVSubOfPoint_map
| Mathlib/LinearAlgebra/AffineSpace/Combination.lean | 179 | 182 | theorem sum_smul_vsub_eq_weightedVSubOfPoint_sub (w : ι → k) (p₁ p₂ : ι → P) (b : P) :
(∑ i ∈ s, w i • (p₁ i -ᵥ p₂ i)) =
s.weightedVSubOfPoint p₁ b w - s.weightedVSubOfPoint p₂ b w := by |
simp_rw [weightedVSubOfPoint_apply, ← sum_sub_distrib, ← smul_sub, vsub_sub_vsub_cancel_right]
|
import Mathlib.Order.Interval.Set.Disjoint
import Mathlib.MeasureTheory.Integral.SetIntegral
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
#align_import measure_theory.integral.interval_integral from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
noncomputable section
open scoped Classical
open MeasureTheory Set Filter Function
open scoped Classical Topology Filter ENNReal Interval NNReal
variable {ι 𝕜 E F A : Type*} [NormedAddCommGroup E]
def IntervalIntegrable (f : ℝ → E) (μ : Measure ℝ) (a b : ℝ) : Prop :=
IntegrableOn f (Ioc a b) μ ∧ IntegrableOn f (Ioc b a) μ
#align interval_integrable IntervalIntegrable
section
variable {f : ℝ → E} {a b : ℝ} {μ : Measure ℝ}
theorem intervalIntegrable_iff : IntervalIntegrable f μ a b ↔ IntegrableOn f (Ι a b) μ := by
rw [uIoc_eq_union, integrableOn_union, IntervalIntegrable]
#align interval_integrable_iff intervalIntegrable_iff
theorem IntervalIntegrable.def' (h : IntervalIntegrable f μ a b) : IntegrableOn f (Ι a b) μ :=
intervalIntegrable_iff.mp h
#align interval_integrable.def IntervalIntegrable.def'
theorem intervalIntegrable_iff_integrableOn_Ioc_of_le (hab : a ≤ b) :
IntervalIntegrable f μ a b ↔ IntegrableOn f (Ioc a b) μ := by
rw [intervalIntegrable_iff, uIoc_of_le hab]
#align interval_integrable_iff_integrable_Ioc_of_le intervalIntegrable_iff_integrableOn_Ioc_of_le
theorem intervalIntegrable_iff' [NoAtoms μ] :
IntervalIntegrable f μ a b ↔ IntegrableOn f (uIcc a b) μ := by
rw [intervalIntegrable_iff, ← Icc_min_max, uIoc, integrableOn_Icc_iff_integrableOn_Ioc]
#align interval_integrable_iff' intervalIntegrable_iff'
theorem intervalIntegrable_iff_integrableOn_Icc_of_le {f : ℝ → E} {a b : ℝ} (hab : a ≤ b)
{μ : Measure ℝ} [NoAtoms μ] : IntervalIntegrable f μ a b ↔ IntegrableOn f (Icc a b) μ := by
rw [intervalIntegrable_iff_integrableOn_Ioc_of_le hab, integrableOn_Icc_iff_integrableOn_Ioc]
#align interval_integrable_iff_integrable_Icc_of_le intervalIntegrable_iff_integrableOn_Icc_of_le
theorem intervalIntegrable_iff_integrableOn_Ico_of_le [NoAtoms μ] (hab : a ≤ b) :
IntervalIntegrable f μ a b ↔ IntegrableOn f (Ico a b) μ := by
rw [intervalIntegrable_iff_integrableOn_Icc_of_le hab, integrableOn_Icc_iff_integrableOn_Ico]
theorem intervalIntegrable_iff_integrableOn_Ioo_of_le [NoAtoms μ] (hab : a ≤ b) :
IntervalIntegrable f μ a b ↔ IntegrableOn f (Ioo a b) μ := by
rw [intervalIntegrable_iff_integrableOn_Icc_of_le hab, integrableOn_Icc_iff_integrableOn_Ioo]
theorem MeasureTheory.Integrable.intervalIntegrable (hf : Integrable f μ) :
IntervalIntegrable f μ a b :=
⟨hf.integrableOn, hf.integrableOn⟩
#align measure_theory.integrable.interval_integrable MeasureTheory.Integrable.intervalIntegrable
theorem MeasureTheory.IntegrableOn.intervalIntegrable (hf : IntegrableOn f [[a, b]] μ) :
IntervalIntegrable f μ a b :=
⟨MeasureTheory.IntegrableOn.mono_set hf (Ioc_subset_Icc_self.trans Icc_subset_uIcc),
MeasureTheory.IntegrableOn.mono_set hf (Ioc_subset_Icc_self.trans Icc_subset_uIcc')⟩
#align measure_theory.integrable_on.interval_integrable MeasureTheory.IntegrableOn.intervalIntegrable
theorem intervalIntegrable_const_iff {c : E} :
IntervalIntegrable (fun _ => c) μ a b ↔ c = 0 ∨ μ (Ι a b) < ∞ := by
simp only [intervalIntegrable_iff, integrableOn_const]
#align interval_integrable_const_iff intervalIntegrable_const_iff
@[simp]
theorem intervalIntegrable_const [IsLocallyFiniteMeasure μ] {c : E} :
IntervalIntegrable (fun _ => c) μ a b :=
intervalIntegrable_const_iff.2 <| Or.inr measure_Ioc_lt_top
#align interval_integrable_const intervalIntegrable_const
end
section
variable {μ : Measure ℝ} [IsLocallyFiniteMeasure μ]
theorem ContinuousOn.intervalIntegrable {u : ℝ → E} {a b : ℝ} (hu : ContinuousOn u (uIcc a b)) :
IntervalIntegrable u μ a b :=
(ContinuousOn.integrableOn_Icc hu).intervalIntegrable
#align continuous_on.interval_integrable ContinuousOn.intervalIntegrable
theorem ContinuousOn.intervalIntegrable_of_Icc {u : ℝ → E} {a b : ℝ} (h : a ≤ b)
(hu : ContinuousOn u (Icc a b)) : IntervalIntegrable u μ a b :=
ContinuousOn.intervalIntegrable ((uIcc_of_le h).symm ▸ hu)
#align continuous_on.interval_integrable_of_Icc ContinuousOn.intervalIntegrable_of_Icc
theorem Continuous.intervalIntegrable {u : ℝ → E} (hu : Continuous u) (a b : ℝ) :
IntervalIntegrable u μ a b :=
hu.continuousOn.intervalIntegrable
#align continuous.interval_integrable Continuous.intervalIntegrable
end
section
variable {μ : Measure ℝ} [IsLocallyFiniteMeasure μ] [ConditionallyCompleteLinearOrder E]
[OrderTopology E] [SecondCountableTopology E]
theorem MonotoneOn.intervalIntegrable {u : ℝ → E} {a b : ℝ} (hu : MonotoneOn u (uIcc a b)) :
IntervalIntegrable u μ a b := by
rw [intervalIntegrable_iff]
exact (hu.integrableOn_isCompact isCompact_uIcc).mono_set Ioc_subset_Icc_self
#align monotone_on.interval_integrable MonotoneOn.intervalIntegrable
theorem AntitoneOn.intervalIntegrable {u : ℝ → E} {a b : ℝ} (hu : AntitoneOn u (uIcc a b)) :
IntervalIntegrable u μ a b :=
hu.dual_right.intervalIntegrable
#align antitone_on.interval_integrable AntitoneOn.intervalIntegrable
theorem Monotone.intervalIntegrable {u : ℝ → E} {a b : ℝ} (hu : Monotone u) :
IntervalIntegrable u μ a b :=
(hu.monotoneOn _).intervalIntegrable
#align monotone.interval_integrable Monotone.intervalIntegrable
theorem Antitone.intervalIntegrable {u : ℝ → E} {a b : ℝ} (hu : Antitone u) :
IntervalIntegrable u μ a b :=
(hu.antitoneOn _).intervalIntegrable
#align antitone.interval_integrable Antitone.intervalIntegrable
end
theorem Filter.Tendsto.eventually_intervalIntegrable_ae {f : ℝ → E} {μ : Measure ℝ}
{l l' : Filter ℝ} (hfm : StronglyMeasurableAtFilter f l' μ) [TendstoIxxClass Ioc l l']
[IsMeasurablyGenerated l'] (hμ : μ.FiniteAtFilter l') {c : E} (hf : Tendsto f (l' ⊓ ae μ) (𝓝 c))
{u v : ι → ℝ} {lt : Filter ι} (hu : Tendsto u lt l) (hv : Tendsto v lt l) :
∀ᶠ t in lt, IntervalIntegrable f μ (u t) (v t) :=
have := (hf.integrableAtFilter_ae hfm hμ).eventually
((hu.Ioc hv).eventually this).and <| (hv.Ioc hu).eventually this
#align filter.tendsto.eventually_interval_integrable_ae Filter.Tendsto.eventually_intervalIntegrable_ae
theorem Filter.Tendsto.eventually_intervalIntegrable {f : ℝ → E} {μ : Measure ℝ} {l l' : Filter ℝ}
(hfm : StronglyMeasurableAtFilter f l' μ) [TendstoIxxClass Ioc l l'] [IsMeasurablyGenerated l']
(hμ : μ.FiniteAtFilter l') {c : E} (hf : Tendsto f l' (𝓝 c)) {u v : ι → ℝ} {lt : Filter ι}
(hu : Tendsto u lt l) (hv : Tendsto v lt l) : ∀ᶠ t in lt, IntervalIntegrable f μ (u t) (v t) :=
(hf.mono_left inf_le_left).eventually_intervalIntegrable_ae hfm hμ hu hv
#align filter.tendsto.eventually_interval_integrable Filter.Tendsto.eventually_intervalIntegrable
variable [CompleteSpace E] [NormedSpace ℝ E]
def intervalIntegral (f : ℝ → E) (a b : ℝ) (μ : Measure ℝ) : E :=
(∫ x in Ioc a b, f x ∂μ) - ∫ x in Ioc b a, f x ∂μ
#align interval_integral intervalIntegral
notation3"∫ "(...)" in "a".."b", "r:60:(scoped f => f)" ∂"μ:70 => intervalIntegral r a b μ
notation3"∫ "(...)" in "a".."b", "r:60:(scoped f => intervalIntegral f a b volume) => r
namespace intervalIntegral
section Basic
variable {a b : ℝ} {f g : ℝ → E} {μ : Measure ℝ}
@[simp]
| Mathlib/MeasureTheory/Integral/IntervalIntegral.lean | 485 | 485 | theorem integral_zero : (∫ _ in a..b, (0 : E) ∂μ) = 0 := by | simp [intervalIntegral]
|
import Mathlib.Analysis.NormedSpace.Real
import Mathlib.Analysis.Seminorm
import Mathlib.Topology.MetricSpace.HausdorffDistance
#align_import analysis.normed_space.riesz_lemma from "leanprover-community/mathlib"@"f2ce6086713c78a7f880485f7917ea547a215982"
open Set Metric
open Topology
variable {𝕜 : Type*} [NormedField 𝕜]
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace 𝕜 E]
variable {F : Type*} [SeminormedAddCommGroup F] [NormedSpace ℝ F]
theorem riesz_lemma {F : Subspace 𝕜 E} (hFc : IsClosed (F : Set E)) (hF : ∃ x : E, x ∉ F) {r : ℝ}
(hr : r < 1) : ∃ x₀ : E, x₀ ∉ F ∧ ∀ y ∈ F, r * ‖x₀‖ ≤ ‖x₀ - y‖ := by
classical
obtain ⟨x, hx⟩ : ∃ x : E, x ∉ F := hF
let d := Metric.infDist x F
have hFn : (F : Set E).Nonempty := ⟨_, F.zero_mem⟩
have hdp : 0 < d :=
lt_of_le_of_ne Metric.infDist_nonneg fun heq =>
hx ((hFc.mem_iff_infDist_zero hFn).2 heq.symm)
let r' := max r 2⁻¹
have hr' : r' < 1 := by
simp only [r', ge_iff_le, max_lt_iff, hr, true_and]
norm_num
have hlt : 0 < r' := lt_of_lt_of_le (by norm_num) (le_max_right r 2⁻¹)
have hdlt : d < d / r' := (lt_div_iff hlt).mpr ((mul_lt_iff_lt_one_right hdp).2 hr')
obtain ⟨y₀, hy₀F, hxy₀⟩ : ∃ y ∈ F, dist x y < d / r' := (Metric.infDist_lt_iff hFn).mp hdlt
have x_ne_y₀ : x - y₀ ∉ F := by
by_contra h
have : x - y₀ + y₀ ∈ F := F.add_mem h hy₀F
simp only [neg_add_cancel_right, sub_eq_add_neg] at this
exact hx this
refine ⟨x - y₀, x_ne_y₀, fun y hy => le_of_lt ?_⟩
have hy₀y : y₀ + y ∈ F := F.add_mem hy₀F hy
calc
r * ‖x - y₀‖ ≤ r' * ‖x - y₀‖ := by gcongr; apply le_max_left
_ < d := by
rw [← dist_eq_norm]
exact (lt_div_iff' hlt).1 hxy₀
_ ≤ dist x (y₀ + y) := Metric.infDist_le_dist_of_mem hy₀y
_ = ‖x - y₀ - y‖ := by rw [sub_sub, dist_eq_norm]
#align riesz_lemma riesz_lemma
theorem riesz_lemma_of_norm_lt {c : 𝕜} (hc : 1 < ‖c‖) {R : ℝ} (hR : ‖c‖ < R) {F : Subspace 𝕜 E}
(hFc : IsClosed (F : Set E)) (hF : ∃ x : E, x ∉ F) :
∃ x₀ : E, ‖x₀‖ ≤ R ∧ ∀ y ∈ F, 1 ≤ ‖x₀ - y‖ := by
have Rpos : 0 < R := (norm_nonneg _).trans_lt hR
have : ‖c‖ / R < 1 := by
rw [div_lt_iff Rpos]
simpa using hR
rcases riesz_lemma hFc hF this with ⟨x, xF, hx⟩
have x0 : x ≠ 0 := fun H => by simp [H] at xF
obtain ⟨d, d0, dxlt, ledx, -⟩ :
∃ d : 𝕜, d ≠ 0 ∧ ‖d • x‖ < R ∧ R / ‖c‖ ≤ ‖d • x‖ ∧ ‖d‖⁻¹ ≤ R⁻¹ * ‖c‖ * ‖x‖ :=
rescale_to_shell hc Rpos x0
refine ⟨d • x, dxlt.le, fun y hy => ?_⟩
set y' := d⁻¹ • y
have yy' : y = d • y' := by simp [y', smul_smul, mul_inv_cancel d0]
calc
1 = ‖c‖ / R * (R / ‖c‖) := by field_simp [Rpos.ne', (zero_lt_one.trans hc).ne']
_ ≤ ‖c‖ / R * ‖d • x‖ := by gcongr
_ = ‖d‖ * (‖c‖ / R * ‖x‖) := by
simp only [norm_smul]
ring
_ ≤ ‖d‖ * ‖x - y'‖ := by gcongr; exact hx y' (by simp [Submodule.smul_mem _ _ hy])
_ = ‖d • x - y‖ := by rw [yy', ← smul_sub, norm_smul]
#align riesz_lemma_of_norm_lt riesz_lemma_of_norm_lt
| Mathlib/Analysis/NormedSpace/RieszLemma.lean | 108 | 114 | theorem Metric.closedBall_infDist_compl_subset_closure {x : F} {s : Set F} (hx : x ∈ s) :
closedBall x (infDist x sᶜ) ⊆ closure s := by |
rcases eq_or_ne (infDist x sᶜ) 0 with h₀ | h₀
· rw [h₀, closedBall_zero']
exact closure_mono (singleton_subset_iff.2 hx)
· rw [← closure_ball x h₀]
exact closure_mono ball_infDist_compl_subset
|
import Mathlib.LinearAlgebra.Finsupp
import Mathlib.RingTheory.Ideal.Over
import Mathlib.RingTheory.Ideal.Prod
import Mathlib.RingTheory.Ideal.MinimalPrime
import Mathlib.RingTheory.Localization.Away.Basic
import Mathlib.RingTheory.Nilpotent.Lemmas
import Mathlib.Topology.Sets.Closeds
import Mathlib.Topology.Sober
#align_import algebraic_geometry.prime_spectrum.basic from "leanprover-community/mathlib"@"a7c017d750512a352b623b1824d75da5998457d0"
noncomputable section
open scoped Classical
universe u v
variable (R : Type u) (S : Type v)
@[ext]
structure PrimeSpectrum [CommSemiring R] where
asIdeal : Ideal R
IsPrime : asIdeal.IsPrime
#align prime_spectrum PrimeSpectrum
attribute [instance] PrimeSpectrum.IsPrime
namespace PrimeSpectrum
section CommSemiRing
variable [CommSemiring R] [CommSemiring S]
variable {R S}
instance [Nontrivial R] : Nonempty <| PrimeSpectrum R :=
let ⟨I, hI⟩ := Ideal.exists_maximal R
⟨⟨I, hI.isPrime⟩⟩
instance [Subsingleton R] : IsEmpty (PrimeSpectrum R) :=
⟨fun x ↦ x.IsPrime.ne_top <| SetLike.ext' <| Subsingleton.eq_univ_of_nonempty x.asIdeal.nonempty⟩
#noalign prime_spectrum.punit
variable (R S)
@[simp]
def primeSpectrumProdOfSum : Sum (PrimeSpectrum R) (PrimeSpectrum S) → PrimeSpectrum (R × S)
| Sum.inl ⟨I, _⟩ => ⟨Ideal.prod I ⊤, Ideal.isPrime_ideal_prod_top⟩
| Sum.inr ⟨J, _⟩ => ⟨Ideal.prod ⊤ J, Ideal.isPrime_ideal_prod_top'⟩
#align prime_spectrum.prime_spectrum_prod_of_sum PrimeSpectrum.primeSpectrumProdOfSum
noncomputable def primeSpectrumProd :
PrimeSpectrum (R × S) ≃ Sum (PrimeSpectrum R) (PrimeSpectrum S) :=
Equiv.symm <|
Equiv.ofBijective (primeSpectrumProdOfSum R S) (by
constructor
· rintro (⟨I, hI⟩ | ⟨J, hJ⟩) (⟨I', hI'⟩ | ⟨J', hJ'⟩) h <;>
simp only [mk.injEq, Ideal.prod.ext_iff, primeSpectrumProdOfSum] at h
· simp only [h]
· exact False.elim (hI.ne_top h.left)
· exact False.elim (hJ.ne_top h.right)
· simp only [h]
· rintro ⟨I, hI⟩
rcases (Ideal.ideal_prod_prime I).mp hI with (⟨p, ⟨hp, rfl⟩⟩ | ⟨p, ⟨hp, rfl⟩⟩)
· exact ⟨Sum.inl ⟨p, hp⟩, rfl⟩
· exact ⟨Sum.inr ⟨p, hp⟩, rfl⟩)
#align prime_spectrum.prime_spectrum_prod PrimeSpectrum.primeSpectrumProd
variable {R S}
@[simp]
theorem primeSpectrumProd_symm_inl_asIdeal (x : PrimeSpectrum R) :
((primeSpectrumProd R S).symm <| Sum.inl x).asIdeal = Ideal.prod x.asIdeal ⊤ := by
cases x
rfl
#align prime_spectrum.prime_spectrum_prod_symm_inl_as_ideal PrimeSpectrum.primeSpectrumProd_symm_inl_asIdeal
@[simp]
theorem primeSpectrumProd_symm_inr_asIdeal (x : PrimeSpectrum S) :
((primeSpectrumProd R S).symm <| Sum.inr x).asIdeal = Ideal.prod ⊤ x.asIdeal := by
cases x
rfl
#align prime_spectrum.prime_spectrum_prod_symm_inr_as_ideal PrimeSpectrum.primeSpectrumProd_symm_inr_asIdeal
def zeroLocus (s : Set R) : Set (PrimeSpectrum R) :=
{ x | s ⊆ x.asIdeal }
#align prime_spectrum.zero_locus PrimeSpectrum.zeroLocus
@[simp]
theorem mem_zeroLocus (x : PrimeSpectrum R) (s : Set R) : x ∈ zeroLocus s ↔ s ⊆ x.asIdeal :=
Iff.rfl
#align prime_spectrum.mem_zero_locus PrimeSpectrum.mem_zeroLocus
@[simp]
| Mathlib/AlgebraicGeometry/PrimeSpectrum/Basic.lean | 147 | 149 | theorem zeroLocus_span (s : Set R) : zeroLocus (Ideal.span s : Set R) = zeroLocus s := by |
ext x
exact (Submodule.gi R R).gc s x.asIdeal
|
import Mathlib.Algebra.MvPolynomial.Rename
import Mathlib.Algebra.MvPolynomial.Variables
#align_import data.mv_polynomial.monad from "leanprover-community/mathlib"@"2f5b500a507264de86d666a5f87ddb976e2d8de4"
noncomputable section
namespace MvPolynomial
open Finsupp
variable {σ : Type*} {τ : Type*}
variable {R S T : Type*} [CommSemiring R] [CommSemiring S] [CommSemiring T]
def bind₁ (f : σ → MvPolynomial τ R) : MvPolynomial σ R →ₐ[R] MvPolynomial τ R :=
aeval f
#align mv_polynomial.bind₁ MvPolynomial.bind₁
def bind₂ (f : R →+* MvPolynomial σ S) : MvPolynomial σ R →+* MvPolynomial σ S :=
eval₂Hom f X
#align mv_polynomial.bind₂ MvPolynomial.bind₂
def join₁ : MvPolynomial (MvPolynomial σ R) R →ₐ[R] MvPolynomial σ R :=
aeval id
#align mv_polynomial.join₁ MvPolynomial.join₁
def join₂ : MvPolynomial σ (MvPolynomial σ R) →+* MvPolynomial σ R :=
eval₂Hom (RingHom.id _) X
#align mv_polynomial.join₂ MvPolynomial.join₂
@[simp]
theorem aeval_eq_bind₁ (f : σ → MvPolynomial τ R) : aeval f = bind₁ f :=
rfl
#align mv_polynomial.aeval_eq_bind₁ MvPolynomial.aeval_eq_bind₁
@[simp]
theorem eval₂Hom_C_eq_bind₁ (f : σ → MvPolynomial τ R) : eval₂Hom C f = bind₁ f :=
rfl
set_option linter.uppercaseLean3 false in
#align mv_polynomial.eval₂_hom_C_eq_bind₁ MvPolynomial.eval₂Hom_C_eq_bind₁
@[simp]
theorem eval₂Hom_eq_bind₂ (f : R →+* MvPolynomial σ S) : eval₂Hom f X = bind₂ f :=
rfl
#align mv_polynomial.eval₂_hom_eq_bind₂ MvPolynomial.eval₂Hom_eq_bind₂
section
variable (σ R)
@[simp]
theorem aeval_id_eq_join₁ : aeval id = @join₁ σ R _ :=
rfl
#align mv_polynomial.aeval_id_eq_join₁ MvPolynomial.aeval_id_eq_join₁
theorem eval₂Hom_C_id_eq_join₁ (φ : MvPolynomial (MvPolynomial σ R) R) :
eval₂Hom C id φ = join₁ φ :=
rfl
set_option linter.uppercaseLean3 false in
#align mv_polynomial.eval₂_hom_C_id_eq_join₁ MvPolynomial.eval₂Hom_C_id_eq_join₁
@[simp]
theorem eval₂Hom_id_X_eq_join₂ : eval₂Hom (RingHom.id _) X = @join₂ σ R _ :=
rfl
set_option linter.uppercaseLean3 false in
#align mv_polynomial.eval₂_hom_id_X_eq_join₂ MvPolynomial.eval₂Hom_id_X_eq_join₂
end
-- In this file, we don't want to use these simp lemmas,
-- because we first need to show how these new definitions interact
-- and the proofs fall back on unfolding the definitions and call simp afterwards
attribute [-simp]
aeval_eq_bind₁ eval₂Hom_C_eq_bind₁ eval₂Hom_eq_bind₂ aeval_id_eq_join₁ eval₂Hom_id_X_eq_join₂
@[simp]
theorem bind₁_X_right (f : σ → MvPolynomial τ R) (i : σ) : bind₁ f (X i) = f i :=
aeval_X f i
set_option linter.uppercaseLean3 false in
#align mv_polynomial.bind₁_X_right MvPolynomial.bind₁_X_right
@[simp]
theorem bind₂_X_right (f : R →+* MvPolynomial σ S) (i : σ) : bind₂ f (X i) = X i :=
eval₂Hom_X' f X i
set_option linter.uppercaseLean3 false in
#align mv_polynomial.bind₂_X_right MvPolynomial.bind₂_X_right
@[simp]
theorem bind₁_X_left : bind₁ (X : σ → MvPolynomial σ R) = AlgHom.id R _ := by
ext1 i
simp
set_option linter.uppercaseLean3 false in
#align mv_polynomial.bind₁_X_left MvPolynomial.bind₁_X_left
variable (f : σ → MvPolynomial τ R)
theorem bind₁_C_right (f : σ → MvPolynomial τ R) (x) : bind₁ f (C x) = C x := algHom_C _ _
set_option linter.uppercaseLean3 false in
#align mv_polynomial.bind₁_C_right MvPolynomial.bind₁_C_right
@[simp]
theorem bind₂_C_right (f : R →+* MvPolynomial σ S) (r : R) : bind₂ f (C r) = f r :=
eval₂Hom_C f X r
set_option linter.uppercaseLean3 false in
#align mv_polynomial.bind₂_C_right MvPolynomial.bind₂_C_right
@[simp]
theorem bind₂_C_left : bind₂ (C : R →+* MvPolynomial σ R) = RingHom.id _ := by ext : 2 <;> simp
set_option linter.uppercaseLean3 false in
#align mv_polynomial.bind₂_C_left MvPolynomial.bind₂_C_left
@[simp]
theorem bind₂_comp_C (f : R →+* MvPolynomial σ S) : (bind₂ f).comp C = f :=
RingHom.ext <| bind₂_C_right _
set_option linter.uppercaseLean3 false in
#align mv_polynomial.bind₂_comp_C MvPolynomial.bind₂_comp_C
@[simp]
| Mathlib/Algebra/MvPolynomial/Monad.lean | 190 | 191 | theorem join₂_map (f : R →+* MvPolynomial σ S) (φ : MvPolynomial σ R) :
join₂ (map f φ) = bind₂ f φ := by | simp only [join₂, bind₂, eval₂Hom_map_hom, RingHom.id_comp]
|
import Mathlib.Order.Interval.Set.UnorderedInterval
import Mathlib.Algebra.Order.Interval.Set.Monoid
import Mathlib.Data.Set.Pointwise.Basic
import Mathlib.Algebra.Order.Field.Basic
import Mathlib.Algebra.Order.Group.MinMax
#align_import data.set.pointwise.interval from "leanprover-community/mathlib"@"2196ab363eb097c008d4497125e0dde23fb36db2"
open Interval Pointwise
variable {α : Type*}
namespace Set
section ContravariantLT
variable [Mul α] [PartialOrder α]
variable [CovariantClass α α (· * ·) (· < ·)] [CovariantClass α α (Function.swap HMul.hMul) LT.lt]
@[to_additive Icc_add_Ico_subset]
theorem Icc_mul_Ico_subset' (a b c d : α) : Icc a b * Ico c d ⊆ Ico (a * c) (b * d) := by
haveI := covariantClass_le_of_lt
rintro x ⟨y, ⟨hya, hyb⟩, z, ⟨hzc, hzd⟩, rfl⟩
exact ⟨mul_le_mul' hya hzc, mul_lt_mul_of_le_of_lt hyb hzd⟩
@[to_additive Ico_add_Icc_subset]
| Mathlib/Data/Set/Pointwise/Interval.lean | 74 | 77 | theorem Ico_mul_Icc_subset' (a b c d : α) : Ico a b * Icc c d ⊆ Ico (a * c) (b * d) := by |
haveI := covariantClass_le_of_lt
rintro x ⟨y, ⟨hya, hyb⟩, z, ⟨hzc, hzd⟩, rfl⟩
exact ⟨mul_le_mul' hya hzc, mul_lt_mul_of_lt_of_le hyb hzd⟩
|
import Mathlib.MeasureTheory.Group.Action
import Mathlib.MeasureTheory.Integral.SetIntegral
import Mathlib.MeasureTheory.Group.Pointwise
#align_import measure_theory.group.fundamental_domain from "leanprover-community/mathlib"@"3b52265189f3fb43aa631edffce5d060fafaf82f"
open scoped ENNReal Pointwise Topology NNReal ENNReal MeasureTheory
open MeasureTheory MeasureTheory.Measure Set Function TopologicalSpace Filter
namespace MeasureTheory
structure IsAddFundamentalDomain (G : Type*) {α : Type*} [Zero G] [VAdd G α] [MeasurableSpace α]
(s : Set α) (μ : Measure α := by volume_tac) : Prop where
protected nullMeasurableSet : NullMeasurableSet s μ
protected ae_covers : ∀ᵐ x ∂μ, ∃ g : G, g +ᵥ x ∈ s
protected aedisjoint : Pairwise <| (AEDisjoint μ on fun g : G => g +ᵥ s)
#align measure_theory.is_add_fundamental_domain MeasureTheory.IsAddFundamentalDomain
@[to_additive IsAddFundamentalDomain]
structure IsFundamentalDomain (G : Type*) {α : Type*} [One G] [SMul G α] [MeasurableSpace α]
(s : Set α) (μ : Measure α := by volume_tac) : Prop where
protected nullMeasurableSet : NullMeasurableSet s μ
protected ae_covers : ∀ᵐ x ∂μ, ∃ g : G, g • x ∈ s
protected aedisjoint : Pairwise <| (AEDisjoint μ on fun g : G => g • s)
#align measure_theory.is_fundamental_domain MeasureTheory.IsFundamentalDomain
variable {G H α β E : Type*}
namespace IsFundamentalDomain
variable [Group G] [Group H] [MulAction G α] [MeasurableSpace α] [MulAction H β] [MeasurableSpace β]
[NormedAddCommGroup E] {s t : Set α} {μ : Measure α}
@[to_additive "If for each `x : α`, exactly one of `g +ᵥ x`, `g : G`, belongs to a measurable set
`s`, then `s` is a fundamental domain for the additive action of `G` on `α`."]
theorem mk' (h_meas : NullMeasurableSet s μ) (h_exists : ∀ x : α, ∃! g : G, g • x ∈ s) :
IsFundamentalDomain G s μ where
nullMeasurableSet := h_meas
ae_covers := eventually_of_forall fun x => (h_exists x).exists
aedisjoint a b hab := Disjoint.aedisjoint <| disjoint_left.2 fun x hxa hxb => by
rw [mem_smul_set_iff_inv_smul_mem] at hxa hxb
exact hab (inv_injective <| (h_exists x).unique hxa hxb)
#align measure_theory.is_fundamental_domain.mk' MeasureTheory.IsFundamentalDomain.mk'
#align measure_theory.is_add_fundamental_domain.mk' MeasureTheory.IsAddFundamentalDomain.mk'
@[to_additive "For `s` to be a fundamental domain, it's enough to check
`MeasureTheory.AEDisjoint (g +ᵥ s) s` for `g ≠ 0`."]
theorem mk'' (h_meas : NullMeasurableSet s μ) (h_ae_covers : ∀ᵐ x ∂μ, ∃ g : G, g • x ∈ s)
(h_ae_disjoint : ∀ g, g ≠ (1 : G) → AEDisjoint μ (g • s) s)
(h_qmp : ∀ g : G, QuasiMeasurePreserving ((g • ·) : α → α) μ μ) :
IsFundamentalDomain G s μ where
nullMeasurableSet := h_meas
ae_covers := h_ae_covers
aedisjoint := pairwise_aedisjoint_of_aedisjoint_forall_ne_one h_ae_disjoint h_qmp
#align measure_theory.is_fundamental_domain.mk'' MeasureTheory.IsFundamentalDomain.mk''
#align measure_theory.is_add_fundamental_domain.mk'' MeasureTheory.IsAddFundamentalDomain.mk''
@[to_additive
"If a measurable space has a finite measure `μ` and a countable additive group `G` acts
quasi-measure-preservingly, then to show that a set `s` is a fundamental domain, it is sufficient
to check that its translates `g +ᵥ s` are (almost) disjoint and that the sum `∑' g, μ (g +ᵥ s)` is
sufficiently large."]
theorem mk_of_measure_univ_le [IsFiniteMeasure μ] [Countable G] (h_meas : NullMeasurableSet s μ)
(h_ae_disjoint : ∀ g ≠ (1 : G), AEDisjoint μ (g • s) s)
(h_qmp : ∀ g : G, QuasiMeasurePreserving (g • · : α → α) μ μ)
(h_measure_univ_le : μ (univ : Set α) ≤ ∑' g : G, μ (g • s)) : IsFundamentalDomain G s μ :=
have aedisjoint : Pairwise (AEDisjoint μ on fun g : G => g • s) :=
pairwise_aedisjoint_of_aedisjoint_forall_ne_one h_ae_disjoint h_qmp
{ nullMeasurableSet := h_meas
aedisjoint
ae_covers := by
replace h_meas : ∀ g : G, NullMeasurableSet (g • s) μ := fun g => by
rw [← inv_inv g, ← preimage_smul]; exact h_meas.preimage (h_qmp g⁻¹)
have h_meas' : NullMeasurableSet {a | ∃ g : G, g • a ∈ s} μ := by
rw [← iUnion_smul_eq_setOf_exists]; exact .iUnion h_meas
rw [ae_iff_measure_eq h_meas', ← iUnion_smul_eq_setOf_exists]
refine le_antisymm (measure_mono <| subset_univ _) ?_
rw [measure_iUnion₀ aedisjoint h_meas]
exact h_measure_univ_le }
#align measure_theory.is_fundamental_domain.mk_of_measure_univ_le MeasureTheory.IsFundamentalDomain.mk_of_measure_univ_le
#align measure_theory.is_add_fundamental_domain.mk_of_measure_univ_le MeasureTheory.IsAddFundamentalDomain.mk_of_measure_univ_le
@[to_additive]
theorem iUnion_smul_ae_eq (h : IsFundamentalDomain G s μ) : ⋃ g : G, g • s =ᵐ[μ] univ :=
eventuallyEq_univ.2 <| h.ae_covers.mono fun _ ⟨g, hg⟩ =>
mem_iUnion.2 ⟨g⁻¹, _, hg, inv_smul_smul _ _⟩
#align measure_theory.is_fundamental_domain.Union_smul_ae_eq MeasureTheory.IsFundamentalDomain.iUnion_smul_ae_eq
#align measure_theory.is_add_fundamental_domain.Union_vadd_ae_eq MeasureTheory.IsAddFundamentalDomain.iUnion_vadd_ae_eq
@[to_additive]
theorem measure_ne_zero [MeasurableSpace G] [Countable G] [MeasurableSMul G α]
[SMulInvariantMeasure G α μ] (hμ : μ ≠ 0) (h : IsFundamentalDomain G s μ) :
μ s ≠ 0 := by
have hc := measure_univ_pos.mpr hμ
contrapose! hc
rw [← measure_congr h.iUnion_smul_ae_eq]
refine le_trans (measure_iUnion_le _) ?_
simp_rw [measure_smul, hc, tsum_zero, le_refl]
@[to_additive]
theorem mono (h : IsFundamentalDomain G s μ) {ν : Measure α} (hle : ν ≪ μ) :
IsFundamentalDomain G s ν :=
⟨h.1.mono_ac hle, hle h.2, h.aedisjoint.mono fun _ _ h => hle h⟩
#align measure_theory.is_fundamental_domain.mono MeasureTheory.IsFundamentalDomain.mono
#align measure_theory.is_add_fundamental_domain.mono MeasureTheory.IsAddFundamentalDomain.mono
@[to_additive]
theorem preimage_of_equiv {ν : Measure β} (h : IsFundamentalDomain G s μ) {f : β → α}
(hf : QuasiMeasurePreserving f ν μ) {e : G → H} (he : Bijective e)
(hef : ∀ g, Semiconj f (e g • ·) (g • ·)) : IsFundamentalDomain H (f ⁻¹' s) ν where
nullMeasurableSet := h.nullMeasurableSet.preimage hf
ae_covers := (hf.ae h.ae_covers).mono fun x ⟨g, hg⟩ => ⟨e g, by rwa [mem_preimage, hef g x]⟩
aedisjoint a b hab := by
lift e to G ≃ H using he
have : (e.symm a⁻¹)⁻¹ ≠ (e.symm b⁻¹)⁻¹ := by simp [hab]
have := (h.aedisjoint this).preimage hf
simp only [Semiconj] at hef
simpa only [onFun, ← preimage_smul_inv, preimage_preimage, ← hef, e.apply_symm_apply, inv_inv]
using this
#align measure_theory.is_fundamental_domain.preimage_of_equiv MeasureTheory.IsFundamentalDomain.preimage_of_equiv
#align measure_theory.is_add_fundamental_domain.preimage_of_equiv MeasureTheory.IsAddFundamentalDomain.preimage_of_equiv
@[to_additive]
theorem image_of_equiv {ν : Measure β} (h : IsFundamentalDomain G s μ) (f : α ≃ β)
(hf : QuasiMeasurePreserving f.symm ν μ) (e : H ≃ G)
(hef : ∀ g, Semiconj f (e g • ·) (g • ·)) : IsFundamentalDomain H (f '' s) ν := by
rw [f.image_eq_preimage]
refine h.preimage_of_equiv hf e.symm.bijective fun g x => ?_
rcases f.surjective x with ⟨x, rfl⟩
rw [← hef _ _, f.symm_apply_apply, f.symm_apply_apply, e.apply_symm_apply]
#align measure_theory.is_fundamental_domain.image_of_equiv MeasureTheory.IsFundamentalDomain.image_of_equiv
#align measure_theory.is_add_fundamental_domain.image_of_equiv MeasureTheory.IsAddFundamentalDomain.image_of_equiv
@[to_additive]
theorem pairwise_aedisjoint_of_ac {ν} (h : IsFundamentalDomain G s μ) (hν : ν ≪ μ) :
Pairwise fun g₁ g₂ : G => AEDisjoint ν (g₁ • s) (g₂ • s) :=
h.aedisjoint.mono fun _ _ H => hν H
#align measure_theory.is_fundamental_domain.pairwise_ae_disjoint_of_ac MeasureTheory.IsFundamentalDomain.pairwise_aedisjoint_of_ac
#align measure_theory.is_add_fundamental_domain.pairwise_ae_disjoint_of_ac MeasureTheory.IsAddFundamentalDomain.pairwise_aedisjoint_of_ac
@[to_additive]
theorem smul_of_comm {G' : Type*} [Group G'] [MulAction G' α] [MeasurableSpace G']
[MeasurableSMul G' α] [SMulInvariantMeasure G' α μ] [SMulCommClass G' G α]
(h : IsFundamentalDomain G s μ) (g : G') : IsFundamentalDomain G (g • s) μ :=
h.image_of_equiv (MulAction.toPerm g) (measurePreserving_smul _ _).quasiMeasurePreserving
(Equiv.refl _) <| smul_comm g
#align measure_theory.is_fundamental_domain.smul_of_comm MeasureTheory.IsFundamentalDomain.smul_of_comm
#align measure_theory.is_add_fundamental_domain.vadd_of_comm MeasureTheory.IsAddFundamentalDomain.vadd_of_comm
variable [MeasurableSpace G] [MeasurableSMul G α] [SMulInvariantMeasure G α μ]
@[to_additive]
theorem nullMeasurableSet_smul (h : IsFundamentalDomain G s μ) (g : G) :
NullMeasurableSet (g • s) μ :=
h.nullMeasurableSet.smul g
#align measure_theory.is_fundamental_domain.null_measurable_set_smul MeasureTheory.IsFundamentalDomain.nullMeasurableSet_smul
#align measure_theory.is_add_fundamental_domain.null_measurable_set_vadd MeasureTheory.IsAddFundamentalDomain.nullMeasurableSet_vadd
@[to_additive]
theorem restrict_restrict (h : IsFundamentalDomain G s μ) (g : G) (t : Set α) :
(μ.restrict t).restrict (g • s) = μ.restrict (g • s ∩ t) :=
restrict_restrict₀ ((h.nullMeasurableSet_smul g).mono restrict_le_self)
#align measure_theory.is_fundamental_domain.restrict_restrict MeasureTheory.IsFundamentalDomain.restrict_restrict
#align measure_theory.is_add_fundamental_domain.restrict_restrict MeasureTheory.IsAddFundamentalDomain.restrict_restrict
@[to_additive]
theorem smul (h : IsFundamentalDomain G s μ) (g : G) : IsFundamentalDomain G (g • s) μ :=
h.image_of_equiv (MulAction.toPerm g) (measurePreserving_smul _ _).quasiMeasurePreserving
⟨fun g' => g⁻¹ * g' * g, fun g' => g * g' * g⁻¹, fun g' => by simp [mul_assoc], fun g' => by
simp [mul_assoc]⟩
fun g' x => by simp [smul_smul, mul_assoc]
#align measure_theory.is_fundamental_domain.smul MeasureTheory.IsFundamentalDomain.smul
#align measure_theory.is_add_fundamental_domain.vadd MeasureTheory.IsAddFundamentalDomain.vadd
variable [Countable G] {ν : Measure α}
@[to_additive]
theorem sum_restrict_of_ac (h : IsFundamentalDomain G s μ) (hν : ν ≪ μ) :
(sum fun g : G => ν.restrict (g • s)) = ν := by
rw [← restrict_iUnion_ae (h.aedisjoint.mono fun i j h => hν h) fun g =>
(h.nullMeasurableSet_smul g).mono_ac hν,
restrict_congr_set (hν h.iUnion_smul_ae_eq), restrict_univ]
#align measure_theory.is_fundamental_domain.sum_restrict_of_ac MeasureTheory.IsFundamentalDomain.sum_restrict_of_ac
#align measure_theory.is_add_fundamental_domain.sum_restrict_of_ac MeasureTheory.IsAddFundamentalDomain.sum_restrict_of_ac
@[to_additive]
theorem lintegral_eq_tsum_of_ac (h : IsFundamentalDomain G s μ) (hν : ν ≪ μ) (f : α → ℝ≥0∞) :
∫⁻ x, f x ∂ν = ∑' g : G, ∫⁻ x in g • s, f x ∂ν := by
rw [← lintegral_sum_measure, h.sum_restrict_of_ac hν]
#align measure_theory.is_fundamental_domain.lintegral_eq_tsum_of_ac MeasureTheory.IsFundamentalDomain.lintegral_eq_tsum_of_ac
#align measure_theory.is_add_fundamental_domain.lintegral_eq_tsum_of_ac MeasureTheory.IsAddFundamentalDomain.lintegral_eq_tsum_of_ac
@[to_additive]
theorem sum_restrict (h : IsFundamentalDomain G s μ) : (sum fun g : G => μ.restrict (g • s)) = μ :=
h.sum_restrict_of_ac (refl _)
#align measure_theory.is_fundamental_domain.sum_restrict MeasureTheory.IsFundamentalDomain.sum_restrict
#align measure_theory.is_add_fundamental_domain.sum_restrict MeasureTheory.IsAddFundamentalDomain.sum_restrict
@[to_additive]
theorem lintegral_eq_tsum (h : IsFundamentalDomain G s μ) (f : α → ℝ≥0∞) :
∫⁻ x, f x ∂μ = ∑' g : G, ∫⁻ x in g • s, f x ∂μ :=
h.lintegral_eq_tsum_of_ac (refl _) f
#align measure_theory.is_fundamental_domain.lintegral_eq_tsum MeasureTheory.IsFundamentalDomain.lintegral_eq_tsum
#align measure_theory.is_add_fundamental_domain.lintegral_eq_tsum MeasureTheory.IsAddFundamentalDomain.lintegral_eq_tsum
@[to_additive]
theorem lintegral_eq_tsum' (h : IsFundamentalDomain G s μ) (f : α → ℝ≥0∞) :
∫⁻ x, f x ∂μ = ∑' g : G, ∫⁻ x in s, f (g⁻¹ • x) ∂μ :=
calc
∫⁻ x, f x ∂μ = ∑' g : G, ∫⁻ x in g • s, f x ∂μ := h.lintegral_eq_tsum f
_ = ∑' g : G, ∫⁻ x in g⁻¹ • s, f x ∂μ := ((Equiv.inv G).tsum_eq _).symm
_ = ∑' g : G, ∫⁻ x in s, f (g⁻¹ • x) ∂μ := tsum_congr fun g => Eq.symm <|
(measurePreserving_smul g⁻¹ μ).set_lintegral_comp_emb (measurableEmbedding_const_smul _) _ _
#align measure_theory.is_fundamental_domain.lintegral_eq_tsum' MeasureTheory.IsFundamentalDomain.lintegral_eq_tsum'
#align measure_theory.is_add_fundamental_domain.lintegral_eq_tsum' MeasureTheory.IsAddFundamentalDomain.lintegral_eq_tsum'
@[to_additive] lemma lintegral_eq_tsum'' (h : IsFundamentalDomain G s μ) (f : α → ℝ≥0∞) :
∫⁻ x, f x ∂μ = ∑' g : G, ∫⁻ x in s, f (g • x) ∂μ :=
(lintegral_eq_tsum' h f).trans ((Equiv.inv G).tsum_eq (fun g ↦ ∫⁻ (x : α) in s, f (g • x) ∂μ))
@[to_additive]
theorem set_lintegral_eq_tsum (h : IsFundamentalDomain G s μ) (f : α → ℝ≥0∞) (t : Set α) :
∫⁻ x in t, f x ∂μ = ∑' g : G, ∫⁻ x in t ∩ g • s, f x ∂μ :=
calc
∫⁻ x in t, f x ∂μ = ∑' g : G, ∫⁻ x in g • s, f x ∂μ.restrict t :=
h.lintegral_eq_tsum_of_ac restrict_le_self.absolutelyContinuous _
_ = ∑' g : G, ∫⁻ x in t ∩ g • s, f x ∂μ := by simp only [h.restrict_restrict, inter_comm]
#align measure_theory.is_fundamental_domain.set_lintegral_eq_tsum MeasureTheory.IsFundamentalDomain.set_lintegral_eq_tsum
#align measure_theory.is_add_fundamental_domain.set_lintegral_eq_tsum MeasureTheory.IsAddFundamentalDomain.set_lintegral_eq_tsum
@[to_additive]
theorem set_lintegral_eq_tsum' (h : IsFundamentalDomain G s μ) (f : α → ℝ≥0∞) (t : Set α) :
∫⁻ x in t, f x ∂μ = ∑' g : G, ∫⁻ x in g • t ∩ s, f (g⁻¹ • x) ∂μ :=
calc
∫⁻ x in t, f x ∂μ = ∑' g : G, ∫⁻ x in t ∩ g • s, f x ∂μ := h.set_lintegral_eq_tsum f t
_ = ∑' g : G, ∫⁻ x in t ∩ g⁻¹ • s, f x ∂μ := ((Equiv.inv G).tsum_eq _).symm
_ = ∑' g : G, ∫⁻ x in g⁻¹ • (g • t ∩ s), f x ∂μ := by simp only [smul_set_inter, inv_smul_smul]
_ = ∑' g : G, ∫⁻ x in g • t ∩ s, f (g⁻¹ • x) ∂μ := tsum_congr fun g => Eq.symm <|
(measurePreserving_smul g⁻¹ μ).set_lintegral_comp_emb (measurableEmbedding_const_smul _) _ _
#align measure_theory.is_fundamental_domain.set_lintegral_eq_tsum' MeasureTheory.IsFundamentalDomain.set_lintegral_eq_tsum'
#align measure_theory.is_add_fundamental_domain.set_lintegral_eq_tsum' MeasureTheory.IsAddFundamentalDomain.set_lintegral_eq_tsum'
@[to_additive]
theorem measure_eq_tsum_of_ac (h : IsFundamentalDomain G s μ) (hν : ν ≪ μ) (t : Set α) :
ν t = ∑' g : G, ν (t ∩ g • s) := by
have H : ν.restrict t ≪ μ := Measure.restrict_le_self.absolutelyContinuous.trans hν
simpa only [set_lintegral_one, Pi.one_def,
Measure.restrict_apply₀ ((h.nullMeasurableSet_smul _).mono_ac H), inter_comm] using
h.lintegral_eq_tsum_of_ac H 1
#align measure_theory.is_fundamental_domain.measure_eq_tsum_of_ac MeasureTheory.IsFundamentalDomain.measure_eq_tsum_of_ac
#align measure_theory.is_add_fundamental_domain.measure_eq_tsum_of_ac MeasureTheory.IsAddFundamentalDomain.measure_eq_tsum_of_ac
@[to_additive]
theorem measure_eq_tsum' (h : IsFundamentalDomain G s μ) (t : Set α) :
μ t = ∑' g : G, μ (t ∩ g • s) :=
h.measure_eq_tsum_of_ac AbsolutelyContinuous.rfl t
#align measure_theory.is_fundamental_domain.measure_eq_tsum' MeasureTheory.IsFundamentalDomain.measure_eq_tsum'
#align measure_theory.is_add_fundamental_domain.measure_eq_tsum' MeasureTheory.IsAddFundamentalDomain.measure_eq_tsum'
@[to_additive]
theorem measure_eq_tsum (h : IsFundamentalDomain G s μ) (t : Set α) :
μ t = ∑' g : G, μ (g • t ∩ s) := by
simpa only [set_lintegral_one] using h.set_lintegral_eq_tsum' (fun _ => 1) t
#align measure_theory.is_fundamental_domain.measure_eq_tsum MeasureTheory.IsFundamentalDomain.measure_eq_tsum
#align measure_theory.is_add_fundamental_domain.measure_eq_tsum MeasureTheory.IsAddFundamentalDomain.measure_eq_tsum
@[to_additive]
theorem measure_zero_of_invariant (h : IsFundamentalDomain G s μ) (t : Set α)
(ht : ∀ g : G, g • t = t) (hts : μ (t ∩ s) = 0) : μ t = 0 := by
rw [measure_eq_tsum h]; simp [ht, hts]
#align measure_theory.is_fundamental_domain.measure_zero_of_invariant MeasureTheory.IsFundamentalDomain.measure_zero_of_invariant
#align measure_theory.is_add_fundamental_domain.measure_zero_of_invariant MeasureTheory.IsAddFundamentalDomain.measure_zero_of_invariant
@[to_additive measure_eq_card_smul_of_vadd_ae_eq_self "Given a measure space with an action of a
finite additive group `G`, the measure of any `G`-invariant set is determined by the measure of
its intersection with a fundamental domain for the action of `G`."]
theorem measure_eq_card_smul_of_smul_ae_eq_self [Finite G] (h : IsFundamentalDomain G s μ)
(t : Set α) (ht : ∀ g : G, (g • t : Set α) =ᵐ[μ] t) : μ t = Nat.card G • μ (t ∩ s) := by
haveI : Fintype G := Fintype.ofFinite G
rw [h.measure_eq_tsum]
replace ht : ∀ g : G, (g • t ∩ s : Set α) =ᵐ[μ] (t ∩ s : Set α) := fun g =>
ae_eq_set_inter (ht g) (ae_eq_refl s)
simp_rw [measure_congr (ht _), tsum_fintype, Finset.sum_const, Nat.card_eq_fintype_card,
Finset.card_univ]
#align measure_theory.is_fundamental_domain.measure_eq_card_smul_of_smul_ae_eq_self MeasureTheory.IsFundamentalDomain.measure_eq_card_smul_of_smul_ae_eq_self
#align measure_theory.is_add_fundamental_domain.measure_eq_card_smul_of_vadd_ae_eq_self MeasureTheory.IsAddFundamentalDomain.measure_eq_card_smul_of_vadd_ae_eq_self
@[to_additive]
protected theorem set_lintegral_eq (hs : IsFundamentalDomain G s μ) (ht : IsFundamentalDomain G t μ)
(f : α → ℝ≥0∞) (hf : ∀ (g : G) (x), f (g • x) = f x) :
∫⁻ x in s, f x ∂μ = ∫⁻ x in t, f x ∂μ :=
calc
∫⁻ x in s, f x ∂μ = ∑' g : G, ∫⁻ x in s ∩ g • t, f x ∂μ := ht.set_lintegral_eq_tsum _ _
_ = ∑' g : G, ∫⁻ x in g • t ∩ s, f (g⁻¹ • x) ∂μ := by simp only [hf, inter_comm]
_ = ∫⁻ x in t, f x ∂μ := (hs.set_lintegral_eq_tsum' _ _).symm
#align measure_theory.is_fundamental_domain.set_lintegral_eq MeasureTheory.IsFundamentalDomain.set_lintegral_eq
#align measure_theory.is_add_fundamental_domain.set_lintegral_eq MeasureTheory.IsAddFundamentalDomain.set_lintegral_eq
@[to_additive]
theorem measure_set_eq (hs : IsFundamentalDomain G s μ) (ht : IsFundamentalDomain G t μ) {A : Set α}
(hA₀ : MeasurableSet A) (hA : ∀ g : G, (fun x => g • x) ⁻¹' A = A) : μ (A ∩ s) = μ (A ∩ t) := by
have : ∫⁻ x in s, A.indicator 1 x ∂μ = ∫⁻ x in t, A.indicator 1 x ∂μ := by
refine hs.set_lintegral_eq ht (Set.indicator A fun _ => 1) fun g x ↦ ?_
convert (Set.indicator_comp_right (g • · : α → α) (g := fun _ ↦ (1 : ℝ≥0∞))).symm
rw [hA g]
simpa [Measure.restrict_apply hA₀, lintegral_indicator _ hA₀] using this
#align measure_theory.is_fundamental_domain.measure_set_eq MeasureTheory.IsFundamentalDomain.measure_set_eq
#align measure_theory.is_add_fundamental_domain.measure_set_eq MeasureTheory.IsAddFundamentalDomain.measure_set_eq
@[to_additive "If `s` and `t` are two fundamental domains of the same action, then their measures
are equal."]
protected theorem measure_eq (hs : IsFundamentalDomain G s μ) (ht : IsFundamentalDomain G t μ) :
μ s = μ t := by
simpa only [set_lintegral_one] using hs.set_lintegral_eq ht (fun _ => 1) fun _ _ => rfl
#align measure_theory.is_fundamental_domain.measure_eq MeasureTheory.IsFundamentalDomain.measure_eq
#align measure_theory.is_add_fundamental_domain.measure_eq MeasureTheory.IsAddFundamentalDomain.measure_eq
@[to_additive]
protected theorem aEStronglyMeasurable_on_iff {β : Type*} [TopologicalSpace β]
[PseudoMetrizableSpace β] (hs : IsFundamentalDomain G s μ) (ht : IsFundamentalDomain G t μ)
{f : α → β} (hf : ∀ (g : G) (x), f (g • x) = f x) :
AEStronglyMeasurable f (μ.restrict s) ↔ AEStronglyMeasurable f (μ.restrict t) :=
calc
AEStronglyMeasurable f (μ.restrict s) ↔
AEStronglyMeasurable f (Measure.sum fun g : G => μ.restrict (g • t ∩ s)) := by
simp only [← ht.restrict_restrict,
ht.sum_restrict_of_ac restrict_le_self.absolutelyContinuous]
_ ↔ ∀ g : G, AEStronglyMeasurable f (μ.restrict (g • (g⁻¹ • s ∩ t))) := by
simp only [smul_set_inter, inter_comm, smul_inv_smul, aestronglyMeasurable_sum_measure_iff]
_ ↔ ∀ g : G, AEStronglyMeasurable f (μ.restrict (g⁻¹ • (g⁻¹⁻¹ • s ∩ t))) :=
inv_surjective.forall
_ ↔ ∀ g : G, AEStronglyMeasurable f (μ.restrict (g⁻¹ • (g • s ∩ t))) := by simp only [inv_inv]
_ ↔ ∀ g : G, AEStronglyMeasurable f (μ.restrict (g • s ∩ t)) := by
refine forall_congr' fun g => ?_
have he : MeasurableEmbedding (g⁻¹ • · : α → α) := measurableEmbedding_const_smul _
rw [← image_smul, ← ((measurePreserving_smul g⁻¹ μ).restrict_image_emb he
_).aestronglyMeasurable_comp_iff he]
simp only [(· ∘ ·), hf]
_ ↔ AEStronglyMeasurable f (μ.restrict t) := by
simp only [← aestronglyMeasurable_sum_measure_iff, ← hs.restrict_restrict,
hs.sum_restrict_of_ac restrict_le_self.absolutelyContinuous]
#align measure_theory.is_fundamental_domain.ae_strongly_measurable_on_iff MeasureTheory.IsFundamentalDomain.aEStronglyMeasurable_on_iff
#align measure_theory.is_add_fundamental_domain.ae_strongly_measurable_on_iff MeasureTheory.IsAddFundamentalDomain.aEStronglyMeasurable_on_iff
@[to_additive]
protected theorem hasFiniteIntegral_on_iff (hs : IsFundamentalDomain G s μ)
(ht : IsFundamentalDomain G t μ) {f : α → E} (hf : ∀ (g : G) (x), f (g • x) = f x) :
HasFiniteIntegral f (μ.restrict s) ↔ HasFiniteIntegral f (μ.restrict t) := by
dsimp only [HasFiniteIntegral]
rw [hs.set_lintegral_eq ht]
intro g x; rw [hf]
#align measure_theory.is_fundamental_domain.has_finite_integral_on_iff MeasureTheory.IsFundamentalDomain.hasFiniteIntegral_on_iff
#align measure_theory.is_add_fundamental_domain.has_finite_integral_on_iff MeasureTheory.IsAddFundamentalDomain.hasFiniteIntegral_on_iff
@[to_additive]
protected theorem integrableOn_iff (hs : IsFundamentalDomain G s μ) (ht : IsFundamentalDomain G t μ)
{f : α → E} (hf : ∀ (g : G) (x), f (g • x) = f x) : IntegrableOn f s μ ↔ IntegrableOn f t μ :=
and_congr (hs.aEStronglyMeasurable_on_iff ht hf) (hs.hasFiniteIntegral_on_iff ht hf)
#align measure_theory.is_fundamental_domain.integrable_on_iff MeasureTheory.IsFundamentalDomain.integrableOn_iff
#align measure_theory.is_add_fundamental_domain.integrable_on_iff MeasureTheory.IsAddFundamentalDomain.integrableOn_iff
variable [NormedSpace ℝ E] [CompleteSpace E]
@[to_additive]
theorem integral_eq_tsum_of_ac (h : IsFundamentalDomain G s μ) (hν : ν ≪ μ) (f : α → E)
(hf : Integrable f ν) : ∫ x, f x ∂ν = ∑' g : G, ∫ x in g • s, f x ∂ν := by
rw [← MeasureTheory.integral_sum_measure, h.sum_restrict_of_ac hν]
rw [h.sum_restrict_of_ac hν]
exact hf
#align measure_theory.is_fundamental_domain.integral_eq_tsum_of_ac MeasureTheory.IsFundamentalDomain.integral_eq_tsum_of_ac
#align measure_theory.is_add_fundamental_domain.integral_eq_tsum_of_ac MeasureTheory.IsAddFundamentalDomain.integral_eq_tsum_of_ac
@[to_additive]
theorem integral_eq_tsum (h : IsFundamentalDomain G s μ) (f : α → E) (hf : Integrable f μ) :
∫ x, f x ∂μ = ∑' g : G, ∫ x in g • s, f x ∂μ :=
integral_eq_tsum_of_ac h (by rfl) f hf
#align measure_theory.is_fundamental_domain.integral_eq_tsum MeasureTheory.IsFundamentalDomain.integral_eq_tsum
#align measure_theory.is_add_fundamental_domain.integral_eq_tsum MeasureTheory.IsAddFundamentalDomain.integral_eq_tsum
@[to_additive]
theorem integral_eq_tsum' (h : IsFundamentalDomain G s μ) (f : α → E) (hf : Integrable f μ) :
∫ x, f x ∂μ = ∑' g : G, ∫ x in s, f (g⁻¹ • x) ∂μ :=
calc
∫ x, f x ∂μ = ∑' g : G, ∫ x in g • s, f x ∂μ := h.integral_eq_tsum f hf
_ = ∑' g : G, ∫ x in g⁻¹ • s, f x ∂μ := ((Equiv.inv G).tsum_eq _).symm
_ = ∑' g : G, ∫ x in s, f (g⁻¹ • x) ∂μ := tsum_congr fun g =>
(measurePreserving_smul g⁻¹ μ).setIntegral_image_emb (measurableEmbedding_const_smul _) _ _
#align measure_theory.is_fundamental_domain.integral_eq_tsum' MeasureTheory.IsFundamentalDomain.integral_eq_tsum'
#align measure_theory.is_add_fundamental_domain.integral_eq_tsum' MeasureTheory.IsAddFundamentalDomain.integral_eq_tsum'
@[to_additive] lemma integral_eq_tsum'' (h : IsFundamentalDomain G s μ)
(f : α → E) (hf : Integrable f μ) : ∫ x, f x ∂μ = ∑' g : G, ∫ x in s, f (g • x) ∂μ :=
(integral_eq_tsum' h f hf).trans ((Equiv.inv G).tsum_eq (fun g ↦ ∫ (x : α) in s, f (g • x) ∂μ))
@[to_additive]
| Mathlib/MeasureTheory/Group/FundamentalDomain.lean | 457 | 463 | theorem setIntegral_eq_tsum (h : IsFundamentalDomain G s μ) {f : α → E} {t : Set α}
(hf : IntegrableOn f t μ) : ∫ x in t, f x ∂μ = ∑' g : G, ∫ x in t ∩ g • s, f x ∂μ :=
calc
∫ x in t, f x ∂μ = ∑' g : G, ∫ x in g • s, f x ∂μ.restrict t :=
h.integral_eq_tsum_of_ac restrict_le_self.absolutelyContinuous f hf
_ = ∑' g : G, ∫ x in t ∩ g • s, f x ∂μ := by |
simp only [h.restrict_restrict, measure_smul, inter_comm]
|
import Mathlib.Algebra.Order.Field.Power
import Mathlib.NumberTheory.Padics.PadicVal
#align_import number_theory.padics.padic_norm from "leanprover-community/mathlib"@"92ca63f0fb391a9ca5f22d2409a6080e786d99f7"
def padicNorm (p : ℕ) (q : ℚ) : ℚ :=
if q = 0 then 0 else (p : ℚ) ^ (-padicValRat p q)
#align padic_norm padicNorm
namespace padicNorm
open padicValRat
variable {p : ℕ}
@[simp]
protected theorem eq_zpow_of_nonzero {q : ℚ} (hq : q ≠ 0) :
padicNorm p q = (p : ℚ) ^ (-padicValRat p q) := by simp [hq, padicNorm]
#align padic_norm.eq_zpow_of_nonzero padicNorm.eq_zpow_of_nonzero
protected theorem nonneg (q : ℚ) : 0 ≤ padicNorm p q :=
if hq : q = 0 then by simp [hq, padicNorm]
else by
unfold padicNorm
split_ifs
apply zpow_nonneg
exact mod_cast Nat.zero_le _
#align padic_norm.nonneg padicNorm.nonneg
@[simp]
protected theorem zero : padicNorm p 0 = 0 := by simp [padicNorm]
#align padic_norm.zero padicNorm.zero
-- @[simp] -- Porting note (#10618): simp can prove this
protected theorem one : padicNorm p 1 = 1 := by simp [padicNorm]
#align padic_norm.one padicNorm.one
theorem padicNorm_p (hp : 1 < p) : padicNorm p p = (p : ℚ)⁻¹ := by
simp [padicNorm, (pos_of_gt hp).ne', padicValNat.self hp]
#align padic_norm.padic_norm_p padicNorm.padicNorm_p
@[simp]
theorem padicNorm_p_of_prime [Fact p.Prime] : padicNorm p p = (p : ℚ)⁻¹ :=
padicNorm_p <| Nat.Prime.one_lt Fact.out
#align padic_norm.padic_norm_p_of_prime padicNorm.padicNorm_p_of_prime
theorem padicNorm_of_prime_of_ne {q : ℕ} [p_prime : Fact p.Prime] [q_prime : Fact q.Prime]
(neq : p ≠ q) : padicNorm p q = 1 := by
have p : padicValRat p q = 0 := mod_cast padicValNat_primes neq
rw [padicNorm, p]
simp [q_prime.1.ne_zero]
#align padic_norm.padic_norm_of_prime_of_ne padicNorm.padicNorm_of_prime_of_ne
| Mathlib/NumberTheory/Padics/PadicNorm.lean | 104 | 106 | theorem padicNorm_p_lt_one (hp : 1 < p) : padicNorm p p < 1 := by |
rw [padicNorm_p hp, inv_lt_one_iff]
exact mod_cast Or.inr hp
|
import Mathlib.MeasureTheory.Integral.IntervalIntegral
import Mathlib.Analysis.Calculus.Deriv.ZPow
import Mathlib.Analysis.NormedSpace.Pointwise
import Mathlib.Analysis.SpecialFunctions.NonIntegrable
import Mathlib.Analysis.Analytic.Basic
#align_import measure_theory.integral.circle_integral from "leanprover-community/mathlib"@"3bce8d800a6f2b8f63fe1e588fd76a9ff4adcebe"
variable {E : Type*} [NormedAddCommGroup E]
noncomputable section
open scoped Real NNReal Interval Pointwise Topology
open Complex MeasureTheory TopologicalSpace Metric Function Set Filter Asymptotics
def circleMap (c : ℂ) (R : ℝ) : ℝ → ℂ := fun θ => c + R * exp (θ * I)
#align circle_map circleMap
theorem periodic_circleMap (c : ℂ) (R : ℝ) : Periodic (circleMap c R) (2 * π) := fun θ => by
simp [circleMap, add_mul, exp_periodic _]
#align periodic_circle_map periodic_circleMap
theorem Set.Countable.preimage_circleMap {s : Set ℂ} (hs : s.Countable) (c : ℂ) {R : ℝ}
(hR : R ≠ 0) : (circleMap c R ⁻¹' s).Countable :=
show (((↑) : ℝ → ℂ) ⁻¹' ((· * I) ⁻¹'
(exp ⁻¹' ((R * ·) ⁻¹' ((c + ·) ⁻¹' s))))).Countable from
(((hs.preimage (add_right_injective _)).preimage <|
mul_right_injective₀ <| ofReal_ne_zero.2 hR).preimage_cexp.preimage <|
mul_left_injective₀ I_ne_zero).preimage ofReal_injective
#align set.countable.preimage_circle_map Set.Countable.preimage_circleMap
@[simp]
theorem circleMap_sub_center (c : ℂ) (R : ℝ) (θ : ℝ) : circleMap c R θ - c = circleMap 0 R θ := by
simp [circleMap]
#align circle_map_sub_center circleMap_sub_center
theorem circleMap_zero (R θ : ℝ) : circleMap 0 R θ = R * exp (θ * I) :=
zero_add _
#align circle_map_zero circleMap_zero
@[simp]
theorem abs_circleMap_zero (R : ℝ) (θ : ℝ) : abs (circleMap 0 R θ) = |R| := by simp [circleMap]
#align abs_circle_map_zero abs_circleMap_zero
| Mathlib/MeasureTheory/Integral/CircleIntegral.lean | 117 | 117 | theorem circleMap_mem_sphere' (c : ℂ) (R : ℝ) (θ : ℝ) : circleMap c R θ ∈ sphere c |R| := by | simp
|
import Mathlib.Control.Monad.Basic
import Mathlib.Control.Monad.Writer
import Mathlib.Init.Control.Lawful
#align_import control.monad.cont from "leanprover-community/mathlib"@"d6814c584384ddf2825ff038e868451a7c956f31"
universe u v w u₀ u₁ v₀ v₁
structure MonadCont.Label (α : Type w) (m : Type u → Type v) (β : Type u) where
apply : α → m β
#align monad_cont.label MonadCont.Label
def MonadCont.goto {α β} {m : Type u → Type v} (f : MonadCont.Label α m β) (x : α) :=
f.apply x
#align monad_cont.goto MonadCont.goto
class MonadCont (m : Type u → Type v) where
callCC : ∀ {α β}, (MonadCont.Label α m β → m α) → m α
#align monad_cont MonadCont
open MonadCont
class LawfulMonadCont (m : Type u → Type v) [Monad m] [MonadCont m]
extends LawfulMonad m : Prop where
callCC_bind_right {α ω γ} (cmd : m α) (next : Label ω m γ → α → m ω) :
(callCC fun f => cmd >>= next f) = cmd >>= fun x => callCC fun f => next f x
callCC_bind_left {α} (β) (x : α) (dead : Label α m β → β → m α) :
(callCC fun f : Label α m β => goto f x >>= dead f) = pure x
callCC_dummy {α β} (dummy : m α) : (callCC fun _ : Label α m β => dummy) = dummy
#align is_lawful_monad_cont LawfulMonadCont
export LawfulMonadCont (callCC_bind_right callCC_bind_left callCC_dummy)
def ContT (r : Type u) (m : Type u → Type v) (α : Type w) :=
(α → m r) → m r
#align cont_t ContT
abbrev Cont (r : Type u) (α : Type w) :=
ContT r id α
#align cont Cont
variable {m : Type u → Type v} [Monad m]
def ExceptT.mkLabel {α β ε} : Label (Except.{u, u} ε α) m β → Label α (ExceptT ε m) β
| ⟨f⟩ => ⟨fun a => monadLift <| f (Except.ok a)⟩
#align except_t.mk_label ExceptTₓ.mkLabel
theorem ExceptT.goto_mkLabel {α β ε : Type _} (x : Label (Except.{u, u} ε α) m β) (i : α) :
goto (ExceptT.mkLabel x) i = ExceptT.mk (Except.ok <$> goto x (Except.ok i)) := by
cases x; rfl
#align except_t.goto_mk_label ExceptTₓ.goto_mkLabel
nonrec def ExceptT.callCC {ε} [MonadCont m] {α β : Type _}
(f : Label α (ExceptT ε m) β → ExceptT ε m α) : ExceptT ε m α :=
ExceptT.mk (callCC fun x : Label _ m β => ExceptT.run <| f (ExceptT.mkLabel x))
#align except_t.call_cc ExceptTₓ.callCC
instance {ε} [MonadCont m] : MonadCont (ExceptT ε m) where
callCC := ExceptT.callCC
instance {ε} [MonadCont m] [LawfulMonadCont m] : LawfulMonadCont (ExceptT ε m) where
callCC_bind_right := by
intros; simp only [callCC, ExceptT.callCC, ExceptT.run_bind, callCC_bind_right]; ext
dsimp
congr with ⟨⟩ <;> simp [ExceptT.bindCont, @callCC_dummy m _]
callCC_bind_left := by
intros
simp only [callCC, ExceptT.callCC, ExceptT.goto_mkLabel, map_eq_bind_pure_comp, Function.comp,
ExceptT.run_bind, ExceptT.run_mk, bind_assoc, pure_bind, @callCC_bind_left m _]
ext; rfl
callCC_dummy := by intros; simp only [callCC, ExceptT.callCC, @callCC_dummy m _]; ext; rfl
def OptionT.mkLabel {α β} : Label (Option.{u} α) m β → Label α (OptionT m) β
| ⟨f⟩ => ⟨fun a => monadLift <| f (some a)⟩
#align option_t.mk_label OptionTₓ.mkLabel
theorem OptionT.goto_mkLabel {α β : Type _} (x : Label (Option.{u} α) m β) (i : α) :
goto (OptionT.mkLabel x) i = OptionT.mk (goto x (some i) >>= fun a => pure (some a)) :=
rfl
#align option_t.goto_mk_label OptionTₓ.goto_mkLabel
nonrec def OptionT.callCC [MonadCont m] {α β : Type _} (f : Label α (OptionT m) β → OptionT m α) :
OptionT m α :=
OptionT.mk (callCC fun x : Label _ m β => OptionT.run <| f (OptionT.mkLabel x) : m (Option α))
#align option_t.call_cc OptionTₓ.callCC
instance [MonadCont m] : MonadCont (OptionT m) where
callCC := OptionT.callCC
instance [MonadCont m] [LawfulMonadCont m] : LawfulMonadCont (OptionT m) where
callCC_bind_right := by
intros; simp only [callCC, OptionT.callCC, OptionT.run_bind, callCC_bind_right]; ext
dsimp
congr with ⟨⟩ <;> simp [@callCC_dummy m _]
callCC_bind_left := by
intros;
simp only [callCC, OptionT.callCC, OptionT.goto_mkLabel, OptionT.run_bind, OptionT.run_mk,
bind_assoc, pure_bind, @callCC_bind_left m _]
ext; rfl
callCC_dummy := by intros; simp only [callCC, OptionT.callCC, @callCC_dummy m _]; ext; rfl
def WriterT.mkLabel {α β ω} [EmptyCollection ω] : Label (α × ω) m β → Label α (WriterT ω m) β
| ⟨f⟩ => ⟨fun a => monadLift <| f (a, ∅)⟩
def WriterT.mkLabel' {α β ω} [Monoid ω] : Label (α × ω) m β → Label α (WriterT ω m) β
| ⟨f⟩ => ⟨fun a => monadLift <| f (a, 1)⟩
#align writer_t.mk_label WriterTₓ.mkLabel'
theorem WriterT.goto_mkLabel {α β ω : Type _} [EmptyCollection ω] (x : Label (α × ω) m β) (i : α) :
goto (WriterT.mkLabel x) i = monadLift (goto x (i, ∅)) := by cases x; rfl
theorem WriterT.goto_mkLabel' {α β ω : Type _} [Monoid ω] (x : Label (α × ω) m β) (i : α) :
goto (WriterT.mkLabel' x) i = monadLift (goto x (i, 1)) := by cases x; rfl
#align writer_t.goto_mk_label WriterTₓ.goto_mkLabel'
nonrec def WriterT.callCC [MonadCont m] {α β ω : Type _} [EmptyCollection ω]
(f : Label α (WriterT ω m) β → WriterT ω m α) : WriterT ω m α :=
WriterT.mk <| callCC (WriterT.run ∘ f ∘ WriterT.mkLabel : Label (α × ω) m β → m (α × ω))
def WriterT.callCC' [MonadCont m] {α β ω : Type _} [Monoid ω]
(f : Label α (WriterT ω m) β → WriterT ω m α) : WriterT ω m α :=
WriterT.mk <|
MonadCont.callCC (WriterT.run ∘ f ∘ WriterT.mkLabel' : Label (α × ω) m β → m (α × ω))
#align writer_t.call_cc WriterTₓ.callCC'
instance (ω) [Monad m] [EmptyCollection ω] [MonadCont m] : MonadCont (WriterT ω m) where
callCC := WriterT.callCC
instance (ω) [Monad m] [Monoid ω] [MonadCont m] : MonadCont (WriterT ω m) where
callCC := WriterT.callCC'
def StateT.mkLabel {α β σ : Type u} : Label (α × σ) m (β × σ) → Label α (StateT σ m) β
| ⟨f⟩ => ⟨fun a => StateT.mk (fun s => f (a, s))⟩
#align state_t.mk_label StateTₓ.mkLabel
theorem StateT.goto_mkLabel {α β σ : Type u} (x : Label (α × σ) m (β × σ)) (i : α) :
goto (StateT.mkLabel x) i = StateT.mk (fun s => goto x (i, s)) := by cases x; rfl
#align state_t.goto_mk_label StateTₓ.goto_mkLabel
nonrec def StateT.callCC {σ} [MonadCont m] {α β : Type _}
(f : Label α (StateT σ m) β → StateT σ m α) : StateT σ m α :=
StateT.mk (fun r => callCC fun f' => (f <| StateT.mkLabel f').run r)
#align state_t.call_cc StateTₓ.callCC
instance {σ} [MonadCont m] : MonadCont (StateT σ m) where
callCC := StateT.callCC
instance {σ} [MonadCont m] [LawfulMonadCont m] : LawfulMonadCont (StateT σ m) where
callCC_bind_right := by
intros
simp only [callCC, StateT.callCC, StateT.run_bind, callCC_bind_right]; ext; rfl
callCC_bind_left := by
intros;
simp only [callCC, StateT.callCC, StateT.goto_mkLabel, StateT.run_bind, StateT.run_mk,
callCC_bind_left]; ext; rfl
callCC_dummy := by
intros;
simp only [callCC, StateT.callCC, @callCC_dummy m _]
ext; rfl
def ReaderT.mkLabel {α β} (ρ) : Label α m β → Label α (ReaderT ρ m) β
| ⟨f⟩ => ⟨monadLift ∘ f⟩
#align reader_t.mk_label ReaderTₓ.mkLabel
| Mathlib/Control/Monad/Cont.lean | 249 | 250 | theorem ReaderT.goto_mkLabel {α ρ β} (x : Label α m β) (i : α) :
goto (ReaderT.mkLabel ρ x) i = monadLift (goto x i) := by | cases x; rfl
|
import Mathlib.MeasureTheory.Measure.NullMeasurable
import Mathlib.MeasureTheory.MeasurableSpace.Basic
import Mathlib.Topology.Algebra.Order.LiminfLimsup
#align_import measure_theory.measure.measure_space from "leanprover-community/mathlib"@"343e80208d29d2d15f8050b929aa50fe4ce71b55"
noncomputable section
open Set
open Filter hiding map
open Function MeasurableSpace
open scoped Classical symmDiff
open Topology Filter ENNReal NNReal Interval MeasureTheory
variable {α β γ δ ι R R' : Type*}
namespace MeasureTheory
section
variable {m : MeasurableSpace α} {μ μ₁ μ₂ : Measure α} {s s₁ s₂ t : Set α}
instance ae_isMeasurablyGenerated : IsMeasurablyGenerated (ae μ) :=
⟨fun _s hs =>
let ⟨t, hst, htm, htμ⟩ := exists_measurable_superset_of_null hs
⟨tᶜ, compl_mem_ae_iff.2 htμ, htm.compl, compl_subset_comm.1 hst⟩⟩
#align measure_theory.ae_is_measurably_generated MeasureTheory.ae_isMeasurablyGenerated
theorem ae_uIoc_iff [LinearOrder α] {a b : α} {P : α → Prop} :
(∀ᵐ x ∂μ, x ∈ Ι a b → P x) ↔ (∀ᵐ x ∂μ, x ∈ Ioc a b → P x) ∧ ∀ᵐ x ∂μ, x ∈ Ioc b a → P x := by
simp only [uIoc_eq_union, mem_union, or_imp, eventually_and]
#align measure_theory.ae_uIoc_iff MeasureTheory.ae_uIoc_iff
theorem measure_union (hd : Disjoint s₁ s₂) (h : MeasurableSet s₂) : μ (s₁ ∪ s₂) = μ s₁ + μ s₂ :=
measure_union₀ h.nullMeasurableSet hd.aedisjoint
#align measure_theory.measure_union MeasureTheory.measure_union
theorem measure_union' (hd : Disjoint s₁ s₂) (h : MeasurableSet s₁) : μ (s₁ ∪ s₂) = μ s₁ + μ s₂ :=
measure_union₀' h.nullMeasurableSet hd.aedisjoint
#align measure_theory.measure_union' MeasureTheory.measure_union'
theorem measure_inter_add_diff (s : Set α) (ht : MeasurableSet t) : μ (s ∩ t) + μ (s \ t) = μ s :=
measure_inter_add_diff₀ _ ht.nullMeasurableSet
#align measure_theory.measure_inter_add_diff MeasureTheory.measure_inter_add_diff
theorem measure_diff_add_inter (s : Set α) (ht : MeasurableSet t) : μ (s \ t) + μ (s ∩ t) = μ s :=
(add_comm _ _).trans (measure_inter_add_diff s ht)
#align measure_theory.measure_diff_add_inter MeasureTheory.measure_diff_add_inter
theorem measure_union_add_inter (s : Set α) (ht : MeasurableSet t) :
μ (s ∪ t) + μ (s ∩ t) = μ s + μ t := by
rw [← measure_inter_add_diff (s ∪ t) ht, Set.union_inter_cancel_right, union_diff_right, ←
measure_inter_add_diff s ht]
ac_rfl
#align measure_theory.measure_union_add_inter MeasureTheory.measure_union_add_inter
theorem measure_union_add_inter' (hs : MeasurableSet s) (t : Set α) :
μ (s ∪ t) + μ (s ∩ t) = μ s + μ t := by
rw [union_comm, inter_comm, measure_union_add_inter t hs, add_comm]
#align measure_theory.measure_union_add_inter' MeasureTheory.measure_union_add_inter'
lemma measure_symmDiff_eq (hs : MeasurableSet s) (ht : MeasurableSet t) :
μ (s ∆ t) = μ (s \ t) + μ (t \ s) := by
simpa only [symmDiff_def, sup_eq_union] using measure_union disjoint_sdiff_sdiff (ht.diff hs)
lemma measure_symmDiff_le (s t u : Set α) :
μ (s ∆ u) ≤ μ (s ∆ t) + μ (t ∆ u) :=
le_trans (μ.mono <| symmDiff_triangle s t u) (measure_union_le (s ∆ t) (t ∆ u))
theorem measure_add_measure_compl (h : MeasurableSet s) : μ s + μ sᶜ = μ univ :=
measure_add_measure_compl₀ h.nullMeasurableSet
#align measure_theory.measure_add_measure_compl MeasureTheory.measure_add_measure_compl
theorem measure_biUnion₀ {s : Set β} {f : β → Set α} (hs : s.Countable)
(hd : s.Pairwise (AEDisjoint μ on f)) (h : ∀ b ∈ s, NullMeasurableSet (f b) μ) :
μ (⋃ b ∈ s, f b) = ∑' p : s, μ (f p) := by
haveI := hs.toEncodable
rw [biUnion_eq_iUnion]
exact measure_iUnion₀ (hd.on_injective Subtype.coe_injective fun x => x.2) fun x => h x x.2
#align measure_theory.measure_bUnion₀ MeasureTheory.measure_biUnion₀
theorem measure_biUnion {s : Set β} {f : β → Set α} (hs : s.Countable) (hd : s.PairwiseDisjoint f)
(h : ∀ b ∈ s, MeasurableSet (f b)) : μ (⋃ b ∈ s, f b) = ∑' p : s, μ (f p) :=
measure_biUnion₀ hs hd.aedisjoint fun b hb => (h b hb).nullMeasurableSet
#align measure_theory.measure_bUnion MeasureTheory.measure_biUnion
theorem measure_sUnion₀ {S : Set (Set α)} (hs : S.Countable) (hd : S.Pairwise (AEDisjoint μ))
(h : ∀ s ∈ S, NullMeasurableSet s μ) : μ (⋃₀ S) = ∑' s : S, μ s := by
rw [sUnion_eq_biUnion, measure_biUnion₀ hs hd h]
#align measure_theory.measure_sUnion₀ MeasureTheory.measure_sUnion₀
theorem measure_sUnion {S : Set (Set α)} (hs : S.Countable) (hd : S.Pairwise Disjoint)
(h : ∀ s ∈ S, MeasurableSet s) : μ (⋃₀ S) = ∑' s : S, μ s := by
rw [sUnion_eq_biUnion, measure_biUnion hs hd h]
#align measure_theory.measure_sUnion MeasureTheory.measure_sUnion
theorem measure_biUnion_finset₀ {s : Finset ι} {f : ι → Set α}
(hd : Set.Pairwise (↑s) (AEDisjoint μ on f)) (hm : ∀ b ∈ s, NullMeasurableSet (f b) μ) :
μ (⋃ b ∈ s, f b) = ∑ p ∈ s, μ (f p) := by
rw [← Finset.sum_attach, Finset.attach_eq_univ, ← tsum_fintype]
exact measure_biUnion₀ s.countable_toSet hd hm
#align measure_theory.measure_bUnion_finset₀ MeasureTheory.measure_biUnion_finset₀
theorem measure_biUnion_finset {s : Finset ι} {f : ι → Set α} (hd : PairwiseDisjoint (↑s) f)
(hm : ∀ b ∈ s, MeasurableSet (f b)) : μ (⋃ b ∈ s, f b) = ∑ p ∈ s, μ (f p) :=
measure_biUnion_finset₀ hd.aedisjoint fun b hb => (hm b hb).nullMeasurableSet
#align measure_theory.measure_bUnion_finset MeasureTheory.measure_biUnion_finset
theorem tsum_meas_le_meas_iUnion_of_disjoint₀ {ι : Type*} [MeasurableSpace α] (μ : Measure α)
{As : ι → Set α} (As_mble : ∀ i : ι, NullMeasurableSet (As i) μ)
(As_disj : Pairwise (AEDisjoint μ on As)) : (∑' i, μ (As i)) ≤ μ (⋃ i, As i) := by
rw [ENNReal.tsum_eq_iSup_sum, iSup_le_iff]
intro s
simp only [← measure_biUnion_finset₀ (fun _i _hi _j _hj hij => As_disj hij) fun i _ => As_mble i]
gcongr
exact iUnion_subset fun _ ↦ Subset.rfl
theorem tsum_meas_le_meas_iUnion_of_disjoint {ι : Type*} [MeasurableSpace α] (μ : Measure α)
{As : ι → Set α} (As_mble : ∀ i : ι, MeasurableSet (As i))
(As_disj : Pairwise (Disjoint on As)) : (∑' i, μ (As i)) ≤ μ (⋃ i, As i) :=
tsum_meas_le_meas_iUnion_of_disjoint₀ μ (fun i ↦ (As_mble i).nullMeasurableSet)
(fun _ _ h ↦ Disjoint.aedisjoint (As_disj h))
#align measure_theory.tsum_meas_le_meas_Union_of_disjoint MeasureTheory.tsum_meas_le_meas_iUnion_of_disjoint
theorem tsum_measure_preimage_singleton {s : Set β} (hs : s.Countable) {f : α → β}
(hf : ∀ y ∈ s, MeasurableSet (f ⁻¹' {y})) : (∑' b : s, μ (f ⁻¹' {↑b})) = μ (f ⁻¹' s) := by
rw [← Set.biUnion_preimage_singleton, measure_biUnion hs (pairwiseDisjoint_fiber f s) hf]
#align measure_theory.tsum_measure_preimage_singleton MeasureTheory.tsum_measure_preimage_singleton
lemma measure_preimage_eq_zero_iff_of_countable {s : Set β} {f : α → β} (hs : s.Countable) :
μ (f ⁻¹' s) = 0 ↔ ∀ x ∈ s, μ (f ⁻¹' {x}) = 0 := by
rw [← biUnion_preimage_singleton, measure_biUnion_null_iff hs]
theorem sum_measure_preimage_singleton (s : Finset β) {f : α → β}
(hf : ∀ y ∈ s, MeasurableSet (f ⁻¹' {y})) : (∑ b ∈ s, μ (f ⁻¹' {b})) = μ (f ⁻¹' ↑s) := by
simp only [← measure_biUnion_finset (pairwiseDisjoint_fiber f s) hf,
Finset.set_biUnion_preimage_singleton]
#align measure_theory.sum_measure_preimage_singleton MeasureTheory.sum_measure_preimage_singleton
theorem measure_diff_null' (h : μ (s₁ ∩ s₂) = 0) : μ (s₁ \ s₂) = μ s₁ :=
measure_congr <| diff_ae_eq_self.2 h
#align measure_theory.measure_diff_null' MeasureTheory.measure_diff_null'
theorem measure_add_diff (hs : MeasurableSet s) (t : Set α) : μ s + μ (t \ s) = μ (s ∪ t) := by
rw [← measure_union' disjoint_sdiff_right hs, union_diff_self]
#align measure_theory.measure_add_diff MeasureTheory.measure_add_diff
theorem measure_diff' (s : Set α) (hm : MeasurableSet t) (h_fin : μ t ≠ ∞) :
μ (s \ t) = μ (s ∪ t) - μ t :=
Eq.symm <| ENNReal.sub_eq_of_add_eq h_fin <| by rw [add_comm, measure_add_diff hm, union_comm]
#align measure_theory.measure_diff' MeasureTheory.measure_diff'
theorem measure_diff (h : s₂ ⊆ s₁) (h₂ : MeasurableSet s₂) (h_fin : μ s₂ ≠ ∞) :
μ (s₁ \ s₂) = μ s₁ - μ s₂ := by rw [measure_diff' _ h₂ h_fin, union_eq_self_of_subset_right h]
#align measure_theory.measure_diff MeasureTheory.measure_diff
theorem le_measure_diff : μ s₁ - μ s₂ ≤ μ (s₁ \ s₂) :=
tsub_le_iff_left.2 <| (measure_le_inter_add_diff μ s₁ s₂).trans <| by
gcongr; apply inter_subset_right
#align measure_theory.le_measure_diff MeasureTheory.le_measure_diff
theorem measure_eq_top_iff_of_symmDiff (hμst : μ (s ∆ t) ≠ ∞) : μ s = ∞ ↔ μ t = ∞ := by
suffices h : ∀ u v, μ (u ∆ v) ≠ ∞ → μ u = ∞ → μ v = ∞
from ⟨h s t hμst, h t s (symmDiff_comm s t ▸ hμst)⟩
intro u v hμuv hμu
by_contra! hμv
apply hμuv
rw [Set.symmDiff_def, eq_top_iff]
calc
∞ = μ u - μ v := (WithTop.sub_eq_top_iff.2 ⟨hμu, hμv⟩).symm
_ ≤ μ (u \ v) := le_measure_diff
_ ≤ μ (u \ v ∪ v \ u) := measure_mono subset_union_left
theorem measure_ne_top_iff_of_symmDiff (hμst : μ (s ∆ t) ≠ ∞) : μ s ≠ ∞ ↔ μ t ≠ ∞ :=
(measure_eq_top_iff_of_symmDiff hμst).ne
theorem measure_diff_lt_of_lt_add (hs : MeasurableSet s) (hst : s ⊆ t) (hs' : μ s ≠ ∞) {ε : ℝ≥0∞}
(h : μ t < μ s + ε) : μ (t \ s) < ε := by
rw [measure_diff hst hs hs']; rw [add_comm] at h
exact ENNReal.sub_lt_of_lt_add (measure_mono hst) h
#align measure_theory.measure_diff_lt_of_lt_add MeasureTheory.measure_diff_lt_of_lt_add
theorem measure_diff_le_iff_le_add (hs : MeasurableSet s) (hst : s ⊆ t) (hs' : μ s ≠ ∞) {ε : ℝ≥0∞} :
μ (t \ s) ≤ ε ↔ μ t ≤ μ s + ε := by rw [measure_diff hst hs hs', tsub_le_iff_left]
#align measure_theory.measure_diff_le_iff_le_add MeasureTheory.measure_diff_le_iff_le_add
theorem measure_eq_measure_of_null_diff {s t : Set α} (hst : s ⊆ t) (h_nulldiff : μ (t \ s) = 0) :
μ s = μ t := measure_congr <|
EventuallyLE.antisymm (HasSubset.Subset.eventuallyLE hst) (ae_le_set.mpr h_nulldiff)
#align measure_theory.measure_eq_measure_of_null_diff MeasureTheory.measure_eq_measure_of_null_diff
theorem measure_eq_measure_of_between_null_diff {s₁ s₂ s₃ : Set α} (h12 : s₁ ⊆ s₂) (h23 : s₂ ⊆ s₃)
(h_nulldiff : μ (s₃ \ s₁) = 0) : μ s₁ = μ s₂ ∧ μ s₂ = μ s₃ := by
have le12 : μ s₁ ≤ μ s₂ := measure_mono h12
have le23 : μ s₂ ≤ μ s₃ := measure_mono h23
have key : μ s₃ ≤ μ s₁ :=
calc
μ s₃ = μ (s₃ \ s₁ ∪ s₁) := by rw [diff_union_of_subset (h12.trans h23)]
_ ≤ μ (s₃ \ s₁) + μ s₁ := measure_union_le _ _
_ = μ s₁ := by simp only [h_nulldiff, zero_add]
exact ⟨le12.antisymm (le23.trans key), le23.antisymm (key.trans le12)⟩
#align measure_theory.measure_eq_measure_of_between_null_diff MeasureTheory.measure_eq_measure_of_between_null_diff
theorem measure_eq_measure_smaller_of_between_null_diff {s₁ s₂ s₃ : Set α} (h12 : s₁ ⊆ s₂)
(h23 : s₂ ⊆ s₃) (h_nulldiff : μ (s₃ \ s₁) = 0) : μ s₁ = μ s₂ :=
(measure_eq_measure_of_between_null_diff h12 h23 h_nulldiff).1
#align measure_theory.measure_eq_measure_smaller_of_between_null_diff MeasureTheory.measure_eq_measure_smaller_of_between_null_diff
theorem measure_eq_measure_larger_of_between_null_diff {s₁ s₂ s₃ : Set α} (h12 : s₁ ⊆ s₂)
(h23 : s₂ ⊆ s₃) (h_nulldiff : μ (s₃ \ s₁) = 0) : μ s₂ = μ s₃ :=
(measure_eq_measure_of_between_null_diff h12 h23 h_nulldiff).2
#align measure_theory.measure_eq_measure_larger_of_between_null_diff MeasureTheory.measure_eq_measure_larger_of_between_null_diff
lemma measure_compl₀ (h : NullMeasurableSet s μ) (hs : μ s ≠ ∞) :
μ sᶜ = μ Set.univ - μ s := by
rw [← measure_add_measure_compl₀ h, ENNReal.add_sub_cancel_left hs]
theorem measure_compl (h₁ : MeasurableSet s) (h_fin : μ s ≠ ∞) : μ sᶜ = μ univ - μ s :=
measure_compl₀ h₁.nullMeasurableSet h_fin
#align measure_theory.measure_compl MeasureTheory.measure_compl
lemma measure_inter_conull' (ht : μ (s \ t) = 0) : μ (s ∩ t) = μ s := by
rw [← diff_compl, measure_diff_null']; rwa [← diff_eq]
lemma measure_inter_conull (ht : μ tᶜ = 0) : μ (s ∩ t) = μ s := by
rw [← diff_compl, measure_diff_null ht]
@[simp]
theorem union_ae_eq_left_iff_ae_subset : (s ∪ t : Set α) =ᵐ[μ] s ↔ t ≤ᵐ[μ] s := by
rw [ae_le_set]
refine
⟨fun h => by simpa only [union_diff_left] using (ae_eq_set.mp h).1, fun h =>
eventuallyLE_antisymm_iff.mpr
⟨by rwa [ae_le_set, union_diff_left],
HasSubset.Subset.eventuallyLE subset_union_left⟩⟩
#align measure_theory.union_ae_eq_left_iff_ae_subset MeasureTheory.union_ae_eq_left_iff_ae_subset
@[simp]
theorem union_ae_eq_right_iff_ae_subset : (s ∪ t : Set α) =ᵐ[μ] t ↔ s ≤ᵐ[μ] t := by
rw [union_comm, union_ae_eq_left_iff_ae_subset]
#align measure_theory.union_ae_eq_right_iff_ae_subset MeasureTheory.union_ae_eq_right_iff_ae_subset
theorem ae_eq_of_ae_subset_of_measure_ge (h₁ : s ≤ᵐ[μ] t) (h₂ : μ t ≤ μ s) (hsm : MeasurableSet s)
(ht : μ t ≠ ∞) : s =ᵐ[μ] t := by
refine eventuallyLE_antisymm_iff.mpr ⟨h₁, ae_le_set.mpr ?_⟩
replace h₂ : μ t = μ s := h₂.antisymm (measure_mono_ae h₁)
replace ht : μ s ≠ ∞ := h₂ ▸ ht
rw [measure_diff' t hsm ht, measure_congr (union_ae_eq_left_iff_ae_subset.mpr h₁), h₂, tsub_self]
#align measure_theory.ae_eq_of_ae_subset_of_measure_ge MeasureTheory.ae_eq_of_ae_subset_of_measure_ge
theorem ae_eq_of_subset_of_measure_ge (h₁ : s ⊆ t) (h₂ : μ t ≤ μ s) (hsm : MeasurableSet s)
(ht : μ t ≠ ∞) : s =ᵐ[μ] t :=
ae_eq_of_ae_subset_of_measure_ge (HasSubset.Subset.eventuallyLE h₁) h₂ hsm ht
#align measure_theory.ae_eq_of_subset_of_measure_ge MeasureTheory.ae_eq_of_subset_of_measure_ge
theorem measure_iUnion_congr_of_subset [Countable β] {s : β → Set α} {t : β → Set α}
(hsub : ∀ b, s b ⊆ t b) (h_le : ∀ b, μ (t b) ≤ μ (s b)) : μ (⋃ b, s b) = μ (⋃ b, t b) := by
rcases Classical.em (∃ b, μ (t b) = ∞) with (⟨b, hb⟩ | htop)
· calc
μ (⋃ b, s b) = ∞ := top_unique (hb ▸ (h_le b).trans <| measure_mono <| subset_iUnion _ _)
_ = μ (⋃ b, t b) := Eq.symm <| top_unique <| hb ▸ measure_mono (subset_iUnion _ _)
push_neg at htop
refine le_antisymm (measure_mono (iUnion_mono hsub)) ?_
set M := toMeasurable μ
have H : ∀ b, (M (t b) ∩ M (⋃ b, s b) : Set α) =ᵐ[μ] M (t b) := by
refine fun b => ae_eq_of_subset_of_measure_ge inter_subset_left ?_ ?_ ?_
· calc
μ (M (t b)) = μ (t b) := measure_toMeasurable _
_ ≤ μ (s b) := h_le b
_ ≤ μ (M (t b) ∩ M (⋃ b, s b)) :=
measure_mono <|
subset_inter ((hsub b).trans <| subset_toMeasurable _ _)
((subset_iUnion _ _).trans <| subset_toMeasurable _ _)
· exact (measurableSet_toMeasurable _ _).inter (measurableSet_toMeasurable _ _)
· rw [measure_toMeasurable]
exact htop b
calc
μ (⋃ b, t b) ≤ μ (⋃ b, M (t b)) := measure_mono (iUnion_mono fun b => subset_toMeasurable _ _)
_ = μ (⋃ b, M (t b) ∩ M (⋃ b, s b)) := measure_congr (EventuallyEq.countable_iUnion H).symm
_ ≤ μ (M (⋃ b, s b)) := measure_mono (iUnion_subset fun b => inter_subset_right)
_ = μ (⋃ b, s b) := measure_toMeasurable _
#align measure_theory.measure_Union_congr_of_subset MeasureTheory.measure_iUnion_congr_of_subset
theorem measure_union_congr_of_subset {t₁ t₂ : Set α} (hs : s₁ ⊆ s₂) (hsμ : μ s₂ ≤ μ s₁)
(ht : t₁ ⊆ t₂) (htμ : μ t₂ ≤ μ t₁) : μ (s₁ ∪ t₁) = μ (s₂ ∪ t₂) := by
rw [union_eq_iUnion, union_eq_iUnion]
exact measure_iUnion_congr_of_subset (Bool.forall_bool.2 ⟨ht, hs⟩) (Bool.forall_bool.2 ⟨htμ, hsμ⟩)
#align measure_theory.measure_union_congr_of_subset MeasureTheory.measure_union_congr_of_subset
@[simp]
theorem measure_iUnion_toMeasurable [Countable β] (s : β → Set α) :
μ (⋃ b, toMeasurable μ (s b)) = μ (⋃ b, s b) :=
Eq.symm <|
measure_iUnion_congr_of_subset (fun _b => subset_toMeasurable _ _) fun _b =>
(measure_toMeasurable _).le
#align measure_theory.measure_Union_to_measurable MeasureTheory.measure_iUnion_toMeasurable
theorem measure_biUnion_toMeasurable {I : Set β} (hc : I.Countable) (s : β → Set α) :
μ (⋃ b ∈ I, toMeasurable μ (s b)) = μ (⋃ b ∈ I, s b) := by
haveI := hc.toEncodable
simp only [biUnion_eq_iUnion, measure_iUnion_toMeasurable]
#align measure_theory.measure_bUnion_to_measurable MeasureTheory.measure_biUnion_toMeasurable
@[simp]
theorem measure_toMeasurable_union : μ (toMeasurable μ s ∪ t) = μ (s ∪ t) :=
Eq.symm <|
measure_union_congr_of_subset (subset_toMeasurable _ _) (measure_toMeasurable _).le Subset.rfl
le_rfl
#align measure_theory.measure_to_measurable_union MeasureTheory.measure_toMeasurable_union
@[simp]
theorem measure_union_toMeasurable : μ (s ∪ toMeasurable μ t) = μ (s ∪ t) :=
Eq.symm <|
measure_union_congr_of_subset Subset.rfl le_rfl (subset_toMeasurable _ _)
(measure_toMeasurable _).le
#align measure_theory.measure_union_to_measurable MeasureTheory.measure_union_toMeasurable
theorem sum_measure_le_measure_univ {s : Finset ι} {t : ι → Set α}
(h : ∀ i ∈ s, MeasurableSet (t i)) (H : Set.PairwiseDisjoint (↑s) t) :
(∑ i ∈ s, μ (t i)) ≤ μ (univ : Set α) := by
rw [← measure_biUnion_finset H h]
exact measure_mono (subset_univ _)
#align measure_theory.sum_measure_le_measure_univ MeasureTheory.sum_measure_le_measure_univ
theorem tsum_measure_le_measure_univ {s : ι → Set α} (hs : ∀ i, MeasurableSet (s i))
(H : Pairwise (Disjoint on s)) : (∑' i, μ (s i)) ≤ μ (univ : Set α) := by
rw [ENNReal.tsum_eq_iSup_sum]
exact iSup_le fun s =>
sum_measure_le_measure_univ (fun i _hi => hs i) fun i _hi j _hj hij => H hij
#align measure_theory.tsum_measure_le_measure_univ MeasureTheory.tsum_measure_le_measure_univ
theorem exists_nonempty_inter_of_measure_univ_lt_tsum_measure {m : MeasurableSpace α}
(μ : Measure α) {s : ι → Set α} (hs : ∀ i, MeasurableSet (s i))
(H : μ (univ : Set α) < ∑' i, μ (s i)) : ∃ i j, i ≠ j ∧ (s i ∩ s j).Nonempty := by
contrapose! H
apply tsum_measure_le_measure_univ hs
intro i j hij
exact disjoint_iff_inter_eq_empty.mpr (H i j hij)
#align measure_theory.exists_nonempty_inter_of_measure_univ_lt_tsum_measure MeasureTheory.exists_nonempty_inter_of_measure_univ_lt_tsum_measure
theorem exists_nonempty_inter_of_measure_univ_lt_sum_measure {m : MeasurableSpace α} (μ : Measure α)
{s : Finset ι} {t : ι → Set α} (h : ∀ i ∈ s, MeasurableSet (t i))
(H : μ (univ : Set α) < ∑ i ∈ s, μ (t i)) :
∃ i ∈ s, ∃ j ∈ s, ∃ _h : i ≠ j, (t i ∩ t j).Nonempty := by
contrapose! H
apply sum_measure_le_measure_univ h
intro i hi j hj hij
exact disjoint_iff_inter_eq_empty.mpr (H i hi j hj hij)
#align measure_theory.exists_nonempty_inter_of_measure_univ_lt_sum_measure MeasureTheory.exists_nonempty_inter_of_measure_univ_lt_sum_measure
theorem nonempty_inter_of_measure_lt_add {m : MeasurableSpace α} (μ : Measure α) {s t u : Set α}
(ht : MeasurableSet t) (h's : s ⊆ u) (h't : t ⊆ u) (h : μ u < μ s + μ t) :
(s ∩ t).Nonempty := by
rw [← Set.not_disjoint_iff_nonempty_inter]
contrapose! h
calc
μ s + μ t = μ (s ∪ t) := (measure_union h ht).symm
_ ≤ μ u := measure_mono (union_subset h's h't)
#align measure_theory.nonempty_inter_of_measure_lt_add MeasureTheory.nonempty_inter_of_measure_lt_add
theorem nonempty_inter_of_measure_lt_add' {m : MeasurableSpace α} (μ : Measure α) {s t u : Set α}
(hs : MeasurableSet s) (h's : s ⊆ u) (h't : t ⊆ u) (h : μ u < μ s + μ t) :
(s ∩ t).Nonempty := by
rw [add_comm] at h
rw [inter_comm]
exact nonempty_inter_of_measure_lt_add μ hs h't h's h
#align measure_theory.nonempty_inter_of_measure_lt_add' MeasureTheory.nonempty_inter_of_measure_lt_add'
theorem measure_iUnion_eq_iSup [Countable ι] {s : ι → Set α} (hd : Directed (· ⊆ ·) s) :
μ (⋃ i, s i) = ⨆ i, μ (s i) := by
cases nonempty_encodable ι
-- WLOG, `ι = ℕ`
generalize ht : Function.extend Encodable.encode s ⊥ = t
replace hd : Directed (· ⊆ ·) t := ht ▸ hd.extend_bot Encodable.encode_injective
suffices μ (⋃ n, t n) = ⨆ n, μ (t n) by
simp only [← ht, Function.apply_extend μ, ← iSup_eq_iUnion,
iSup_extend_bot Encodable.encode_injective, (· ∘ ·), Pi.bot_apply, bot_eq_empty,
measure_empty] at this
exact this.trans (iSup_extend_bot Encodable.encode_injective _)
clear! ι
-- The `≥` inequality is trivial
refine le_antisymm ?_ (iSup_le fun i => measure_mono <| subset_iUnion _ _)
-- Choose `T n ⊇ t n` of the same measure, put `Td n = disjointed T`
set T : ℕ → Set α := fun n => toMeasurable μ (t n)
set Td : ℕ → Set α := disjointed T
have hm : ∀ n, MeasurableSet (Td n) :=
MeasurableSet.disjointed fun n => measurableSet_toMeasurable _ _
calc
μ (⋃ n, t n) ≤ μ (⋃ n, T n) := measure_mono (iUnion_mono fun i => subset_toMeasurable _ _)
_ = μ (⋃ n, Td n) := by rw [iUnion_disjointed]
_ ≤ ∑' n, μ (Td n) := measure_iUnion_le _
_ = ⨆ I : Finset ℕ, ∑ n ∈ I, μ (Td n) := ENNReal.tsum_eq_iSup_sum
_ ≤ ⨆ n, μ (t n) := iSup_le fun I => by
rcases hd.finset_le I with ⟨N, hN⟩
calc
(∑ n ∈ I, μ (Td n)) = μ (⋃ n ∈ I, Td n) :=
(measure_biUnion_finset ((disjoint_disjointed T).set_pairwise I) fun n _ => hm n).symm
_ ≤ μ (⋃ n ∈ I, T n) := measure_mono (iUnion₂_mono fun n _hn => disjointed_subset _ _)
_ = μ (⋃ n ∈ I, t n) := measure_biUnion_toMeasurable I.countable_toSet _
_ ≤ μ (t N) := measure_mono (iUnion₂_subset hN)
_ ≤ ⨆ n, μ (t n) := le_iSup (μ ∘ t) N
#align measure_theory.measure_Union_eq_supr MeasureTheory.measure_iUnion_eq_iSup
theorem measure_iUnion_eq_iSup' {α ι : Type*} [MeasurableSpace α] {μ : Measure α}
[Countable ι] [Preorder ι] [IsDirected ι (· ≤ ·)]
{f : ι → Set α} : μ (⋃ i, f i) = ⨆ i, μ (Accumulate f i) := by
have hd : Directed (· ⊆ ·) (Accumulate f) := by
intro i j
rcases directed_of (· ≤ ·) i j with ⟨k, rik, rjk⟩
exact ⟨k, biUnion_subset_biUnion_left fun l rli ↦ le_trans rli rik,
biUnion_subset_biUnion_left fun l rlj ↦ le_trans rlj rjk⟩
rw [← iUnion_accumulate]
exact measure_iUnion_eq_iSup hd
| Mathlib/MeasureTheory/Measure/MeasureSpace.lean | 518 | 521 | theorem measure_biUnion_eq_iSup {s : ι → Set α} {t : Set ι} (ht : t.Countable)
(hd : DirectedOn ((· ⊆ ·) on s) t) : μ (⋃ i ∈ t, s i) = ⨆ i ∈ t, μ (s i) := by |
haveI := ht.toEncodable
rw [biUnion_eq_iUnion, measure_iUnion_eq_iSup hd.directed_val, ← iSup_subtype'']
|
import Mathlib.Data.List.Range
import Mathlib.Algebra.Order.Ring.Nat
variable {α : Type*}
namespace List
@[simp]
theorem length_iterate (f : α → α) (a : α) (n : ℕ) : length (iterate f a n) = n := by
induction n generalizing a <;> simp [*]
@[simp]
| Mathlib/Data/List/Iterate.lean | 25 | 26 | theorem iterate_eq_nil {f : α → α} {a : α} {n : ℕ} : iterate f a n = [] ↔ n = 0 := by |
rw [← length_eq_zero, length_iterate]
|
import Mathlib.Init.ZeroOne
import Mathlib.Data.Set.Defs
import Mathlib.Order.Basic
import Mathlib.Order.SymmDiff
import Mathlib.Tactic.Tauto
import Mathlib.Tactic.ByContra
import Mathlib.Util.Delaborators
#align_import data.set.basic from "leanprover-community/mathlib"@"001ffdc42920050657fd45bd2b8bfbec8eaaeb29"
open Function
universe u v w x
namespace Set
variable {α : Type u} {s t : Set α}
instance instBooleanAlgebraSet : BooleanAlgebra (Set α) :=
{ (inferInstance : BooleanAlgebra (α → Prop)) with
sup := (· ∪ ·),
le := (· ≤ ·),
lt := fun s t => s ⊆ t ∧ ¬t ⊆ s,
inf := (· ∩ ·),
bot := ∅,
compl := (·ᶜ),
top := univ,
sdiff := (· \ ·) }
instance : HasSSubset (Set α) :=
⟨(· < ·)⟩
@[simp]
theorem top_eq_univ : (⊤ : Set α) = univ :=
rfl
#align set.top_eq_univ Set.top_eq_univ
@[simp]
theorem bot_eq_empty : (⊥ : Set α) = ∅ :=
rfl
#align set.bot_eq_empty Set.bot_eq_empty
@[simp]
theorem sup_eq_union : ((· ⊔ ·) : Set α → Set α → Set α) = (· ∪ ·) :=
rfl
#align set.sup_eq_union Set.sup_eq_union
@[simp]
theorem inf_eq_inter : ((· ⊓ ·) : Set α → Set α → Set α) = (· ∩ ·) :=
rfl
#align set.inf_eq_inter Set.inf_eq_inter
@[simp]
theorem le_eq_subset : ((· ≤ ·) : Set α → Set α → Prop) = (· ⊆ ·) :=
rfl
#align set.le_eq_subset Set.le_eq_subset
@[simp]
theorem lt_eq_ssubset : ((· < ·) : Set α → Set α → Prop) = (· ⊂ ·) :=
rfl
#align set.lt_eq_ssubset Set.lt_eq_ssubset
theorem le_iff_subset : s ≤ t ↔ s ⊆ t :=
Iff.rfl
#align set.le_iff_subset Set.le_iff_subset
theorem lt_iff_ssubset : s < t ↔ s ⊂ t :=
Iff.rfl
#align set.lt_iff_ssubset Set.lt_iff_ssubset
alias ⟨_root_.LE.le.subset, _root_.HasSubset.Subset.le⟩ := le_iff_subset
#align has_subset.subset.le HasSubset.Subset.le
alias ⟨_root_.LT.lt.ssubset, _root_.HasSSubset.SSubset.lt⟩ := lt_iff_ssubset
#align has_ssubset.ssubset.lt HasSSubset.SSubset.lt
instance PiSetCoe.canLift (ι : Type u) (α : ι → Type v) [∀ i, Nonempty (α i)] (s : Set ι) :
CanLift (∀ i : s, α i) (∀ i, α i) (fun f i => f i) fun _ => True :=
PiSubtype.canLift ι α s
#align set.pi_set_coe.can_lift Set.PiSetCoe.canLift
instance PiSetCoe.canLift' (ι : Type u) (α : Type v) [Nonempty α] (s : Set ι) :
CanLift (s → α) (ι → α) (fun f i => f i) fun _ => True :=
PiSetCoe.canLift ι (fun _ => α) s
#align set.pi_set_coe.can_lift' Set.PiSetCoe.canLift'
end Set
theorem Subtype.mem {α : Type*} {s : Set α} (p : s) : (p : α) ∈ s :=
p.prop
#align subtype.mem Subtype.mem
theorem Eq.subset {α} {s t : Set α} : s = t → s ⊆ t :=
fun h₁ _ h₂ => by rw [← h₁]; exact h₂
#align eq.subset Eq.subset
namespace Set
variable {α : Type u} {β : Type v} {γ : Type w} {ι : Sort x} {a b : α} {s s₁ s₂ t t₁ t₂ u : Set α}
instance : Inhabited (Set α) :=
⟨∅⟩
theorem ext_iff {s t : Set α} : s = t ↔ ∀ x, x ∈ s ↔ x ∈ t :=
⟨fun h x => by rw [h], ext⟩
#align set.ext_iff Set.ext_iff
@[trans]
theorem mem_of_mem_of_subset {x : α} {s t : Set α} (hx : x ∈ s) (h : s ⊆ t) : x ∈ t :=
h hx
#align set.mem_of_mem_of_subset Set.mem_of_mem_of_subset
theorem forall_in_swap {p : α → β → Prop} : (∀ a ∈ s, ∀ (b), p a b) ↔ ∀ (b), ∀ a ∈ s, p a b := by
tauto
#align set.forall_in_swap Set.forall_in_swap
theorem mem_setOf {a : α} {p : α → Prop} : a ∈ { x | p x } ↔ p a :=
Iff.rfl
#align set.mem_set_of Set.mem_setOf
theorem _root_.Membership.mem.out {p : α → Prop} {a : α} (h : a ∈ { x | p x }) : p a :=
h
#align has_mem.mem.out Membership.mem.out
theorem nmem_setOf_iff {a : α} {p : α → Prop} : a ∉ { x | p x } ↔ ¬p a :=
Iff.rfl
#align set.nmem_set_of_iff Set.nmem_setOf_iff
@[simp]
theorem setOf_mem_eq {s : Set α} : { x | x ∈ s } = s :=
rfl
#align set.set_of_mem_eq Set.setOf_mem_eq
theorem setOf_set {s : Set α} : setOf s = s :=
rfl
#align set.set_of_set Set.setOf_set
theorem setOf_app_iff {p : α → Prop} {x : α} : { x | p x } x ↔ p x :=
Iff.rfl
#align set.set_of_app_iff Set.setOf_app_iff
theorem mem_def {a : α} {s : Set α} : a ∈ s ↔ s a :=
Iff.rfl
#align set.mem_def Set.mem_def
theorem setOf_bijective : Bijective (setOf : (α → Prop) → Set α) :=
bijective_id
#align set.set_of_bijective Set.setOf_bijective
theorem subset_setOf {p : α → Prop} {s : Set α} : s ⊆ setOf p ↔ ∀ x, x ∈ s → p x :=
Iff.rfl
theorem setOf_subset {p : α → Prop} {s : Set α} : setOf p ⊆ s ↔ ∀ x, p x → x ∈ s :=
Iff.rfl
@[simp]
theorem setOf_subset_setOf {p q : α → Prop} : { a | p a } ⊆ { a | q a } ↔ ∀ a, p a → q a :=
Iff.rfl
#align set.set_of_subset_set_of Set.setOf_subset_setOf
theorem setOf_and {p q : α → Prop} : { a | p a ∧ q a } = { a | p a } ∩ { a | q a } :=
rfl
#align set.set_of_and Set.setOf_and
theorem setOf_or {p q : α → Prop} : { a | p a ∨ q a } = { a | p a } ∪ { a | q a } :=
rfl
#align set.set_of_or Set.setOf_or
instance : IsRefl (Set α) (· ⊆ ·) :=
show IsRefl (Set α) (· ≤ ·) by infer_instance
instance : IsTrans (Set α) (· ⊆ ·) :=
show IsTrans (Set α) (· ≤ ·) by infer_instance
instance : Trans ((· ⊆ ·) : Set α → Set α → Prop) (· ⊆ ·) (· ⊆ ·) :=
show Trans (· ≤ ·) (· ≤ ·) (· ≤ ·) by infer_instance
instance : IsAntisymm (Set α) (· ⊆ ·) :=
show IsAntisymm (Set α) (· ≤ ·) by infer_instance
instance : IsIrrefl (Set α) (· ⊂ ·) :=
show IsIrrefl (Set α) (· < ·) by infer_instance
instance : IsTrans (Set α) (· ⊂ ·) :=
show IsTrans (Set α) (· < ·) by infer_instance
instance : Trans ((· ⊂ ·) : Set α → Set α → Prop) (· ⊂ ·) (· ⊂ ·) :=
show Trans (· < ·) (· < ·) (· < ·) by infer_instance
instance : Trans ((· ⊂ ·) : Set α → Set α → Prop) (· ⊆ ·) (· ⊂ ·) :=
show Trans (· < ·) (· ≤ ·) (· < ·) by infer_instance
instance : Trans ((· ⊆ ·) : Set α → Set α → Prop) (· ⊂ ·) (· ⊂ ·) :=
show Trans (· ≤ ·) (· < ·) (· < ·) by infer_instance
instance : IsAsymm (Set α) (· ⊂ ·) :=
show IsAsymm (Set α) (· < ·) by infer_instance
instance : IsNonstrictStrictOrder (Set α) (· ⊆ ·) (· ⊂ ·) :=
⟨fun _ _ => Iff.rfl⟩
-- TODO(Jeremy): write a tactic to unfold specific instances of generic notation?
theorem subset_def : (s ⊆ t) = ∀ x, x ∈ s → x ∈ t :=
rfl
#align set.subset_def Set.subset_def
theorem ssubset_def : (s ⊂ t) = (s ⊆ t ∧ ¬t ⊆ s) :=
rfl
#align set.ssubset_def Set.ssubset_def
@[refl]
theorem Subset.refl (a : Set α) : a ⊆ a := fun _ => id
#align set.subset.refl Set.Subset.refl
theorem Subset.rfl {s : Set α} : s ⊆ s :=
Subset.refl s
#align set.subset.rfl Set.Subset.rfl
@[trans]
theorem Subset.trans {a b c : Set α} (ab : a ⊆ b) (bc : b ⊆ c) : a ⊆ c := fun _ h => bc <| ab h
#align set.subset.trans Set.Subset.trans
@[trans]
theorem mem_of_eq_of_mem {x y : α} {s : Set α} (hx : x = y) (h : y ∈ s) : x ∈ s :=
hx.symm ▸ h
#align set.mem_of_eq_of_mem Set.mem_of_eq_of_mem
theorem Subset.antisymm {a b : Set α} (h₁ : a ⊆ b) (h₂ : b ⊆ a) : a = b :=
Set.ext fun _ => ⟨@h₁ _, @h₂ _⟩
#align set.subset.antisymm Set.Subset.antisymm
theorem Subset.antisymm_iff {a b : Set α} : a = b ↔ a ⊆ b ∧ b ⊆ a :=
⟨fun e => ⟨e.subset, e.symm.subset⟩, fun ⟨h₁, h₂⟩ => Subset.antisymm h₁ h₂⟩
#align set.subset.antisymm_iff Set.Subset.antisymm_iff
-- an alternative name
theorem eq_of_subset_of_subset {a b : Set α} : a ⊆ b → b ⊆ a → a = b :=
Subset.antisymm
#align set.eq_of_subset_of_subset Set.eq_of_subset_of_subset
theorem mem_of_subset_of_mem {s₁ s₂ : Set α} {a : α} (h : s₁ ⊆ s₂) : a ∈ s₁ → a ∈ s₂ :=
@h _
#align set.mem_of_subset_of_mem Set.mem_of_subset_of_mem
theorem not_mem_subset (h : s ⊆ t) : a ∉ t → a ∉ s :=
mt <| mem_of_subset_of_mem h
#align set.not_mem_subset Set.not_mem_subset
theorem not_subset : ¬s ⊆ t ↔ ∃ a ∈ s, a ∉ t := by
simp only [subset_def, not_forall, exists_prop]
#align set.not_subset Set.not_subset
lemma eq_of_forall_subset_iff (h : ∀ u, s ⊆ u ↔ t ⊆ u) : s = t := eq_of_forall_ge_iff h
protected theorem eq_or_ssubset_of_subset (h : s ⊆ t) : s = t ∨ s ⊂ t :=
eq_or_lt_of_le h
#align set.eq_or_ssubset_of_subset Set.eq_or_ssubset_of_subset
theorem exists_of_ssubset {s t : Set α} (h : s ⊂ t) : ∃ x ∈ t, x ∉ s :=
not_subset.1 h.2
#align set.exists_of_ssubset Set.exists_of_ssubset
protected theorem ssubset_iff_subset_ne {s t : Set α} : s ⊂ t ↔ s ⊆ t ∧ s ≠ t :=
@lt_iff_le_and_ne (Set α) _ s t
#align set.ssubset_iff_subset_ne Set.ssubset_iff_subset_ne
theorem ssubset_iff_of_subset {s t : Set α} (h : s ⊆ t) : s ⊂ t ↔ ∃ x ∈ t, x ∉ s :=
⟨exists_of_ssubset, fun ⟨_, hxt, hxs⟩ => ⟨h, fun h => hxs <| h hxt⟩⟩
#align set.ssubset_iff_of_subset Set.ssubset_iff_of_subset
protected theorem ssubset_of_ssubset_of_subset {s₁ s₂ s₃ : Set α} (hs₁s₂ : s₁ ⊂ s₂)
(hs₂s₃ : s₂ ⊆ s₃) : s₁ ⊂ s₃ :=
⟨Subset.trans hs₁s₂.1 hs₂s₃, fun hs₃s₁ => hs₁s₂.2 (Subset.trans hs₂s₃ hs₃s₁)⟩
#align set.ssubset_of_ssubset_of_subset Set.ssubset_of_ssubset_of_subset
protected theorem ssubset_of_subset_of_ssubset {s₁ s₂ s₃ : Set α} (hs₁s₂ : s₁ ⊆ s₂)
(hs₂s₃ : s₂ ⊂ s₃) : s₁ ⊂ s₃ :=
⟨Subset.trans hs₁s₂ hs₂s₃.1, fun hs₃s₁ => hs₂s₃.2 (Subset.trans hs₃s₁ hs₁s₂)⟩
#align set.ssubset_of_subset_of_ssubset Set.ssubset_of_subset_of_ssubset
theorem not_mem_empty (x : α) : ¬x ∈ (∅ : Set α) :=
id
#align set.not_mem_empty Set.not_mem_empty
-- Porting note (#10618): removed `simp` because `simp` can prove it
theorem not_not_mem : ¬a ∉ s ↔ a ∈ s :=
not_not
#align set.not_not_mem Set.not_not_mem
-- Porting note: we seem to need parentheses at `(↥s)`,
-- even if we increase the right precedence of `↥` in `Mathlib.Tactic.Coe`.
-- Porting note: removed `simp` as it is competing with `nonempty_subtype`.
-- @[simp]
theorem nonempty_coe_sort {s : Set α} : Nonempty (↥s) ↔ s.Nonempty :=
nonempty_subtype
#align set.nonempty_coe_sort Set.nonempty_coe_sort
alias ⟨_, Nonempty.coe_sort⟩ := nonempty_coe_sort
#align set.nonempty.coe_sort Set.Nonempty.coe_sort
theorem nonempty_def : s.Nonempty ↔ ∃ x, x ∈ s :=
Iff.rfl
#align set.nonempty_def Set.nonempty_def
theorem nonempty_of_mem {x} (h : x ∈ s) : s.Nonempty :=
⟨x, h⟩
#align set.nonempty_of_mem Set.nonempty_of_mem
theorem Nonempty.not_subset_empty : s.Nonempty → ¬s ⊆ ∅
| ⟨_, hx⟩, hs => hs hx
#align set.nonempty.not_subset_empty Set.Nonempty.not_subset_empty
protected noncomputable def Nonempty.some (h : s.Nonempty) : α :=
Classical.choose h
#align set.nonempty.some Set.Nonempty.some
protected theorem Nonempty.some_mem (h : s.Nonempty) : h.some ∈ s :=
Classical.choose_spec h
#align set.nonempty.some_mem Set.Nonempty.some_mem
theorem Nonempty.mono (ht : s ⊆ t) (hs : s.Nonempty) : t.Nonempty :=
hs.imp ht
#align set.nonempty.mono Set.Nonempty.mono
theorem nonempty_of_not_subset (h : ¬s ⊆ t) : (s \ t).Nonempty :=
let ⟨x, xs, xt⟩ := not_subset.1 h
⟨x, xs, xt⟩
#align set.nonempty_of_not_subset Set.nonempty_of_not_subset
theorem nonempty_of_ssubset (ht : s ⊂ t) : (t \ s).Nonempty :=
nonempty_of_not_subset ht.2
#align set.nonempty_of_ssubset Set.nonempty_of_ssubset
theorem Nonempty.of_diff (h : (s \ t).Nonempty) : s.Nonempty :=
h.imp fun _ => And.left
#align set.nonempty.of_diff Set.Nonempty.of_diff
theorem nonempty_of_ssubset' (ht : s ⊂ t) : t.Nonempty :=
(nonempty_of_ssubset ht).of_diff
#align set.nonempty_of_ssubset' Set.nonempty_of_ssubset'
theorem Nonempty.inl (hs : s.Nonempty) : (s ∪ t).Nonempty :=
hs.imp fun _ => Or.inl
#align set.nonempty.inl Set.Nonempty.inl
theorem Nonempty.inr (ht : t.Nonempty) : (s ∪ t).Nonempty :=
ht.imp fun _ => Or.inr
#align set.nonempty.inr Set.Nonempty.inr
@[simp]
theorem union_nonempty : (s ∪ t).Nonempty ↔ s.Nonempty ∨ t.Nonempty :=
exists_or
#align set.union_nonempty Set.union_nonempty
theorem Nonempty.left (h : (s ∩ t).Nonempty) : s.Nonempty :=
h.imp fun _ => And.left
#align set.nonempty.left Set.Nonempty.left
theorem Nonempty.right (h : (s ∩ t).Nonempty) : t.Nonempty :=
h.imp fun _ => And.right
#align set.nonempty.right Set.Nonempty.right
theorem inter_nonempty : (s ∩ t).Nonempty ↔ ∃ x, x ∈ s ∧ x ∈ t :=
Iff.rfl
#align set.inter_nonempty Set.inter_nonempty
| Mathlib/Data/Set/Basic.lean | 492 | 493 | theorem inter_nonempty_iff_exists_left : (s ∩ t).Nonempty ↔ ∃ x ∈ s, x ∈ t := by |
simp_rw [inter_nonempty]
|
import Mathlib.SetTheory.Ordinal.Arithmetic
import Mathlib.Tactic.TFAE
import Mathlib.Topology.Order.Monotone
#align_import set_theory.ordinal.topology from "leanprover-community/mathlib"@"740acc0e6f9adf4423f92a485d0456fc271482da"
noncomputable section
universe u v
open Cardinal Order Topology
namespace Ordinal
variable {s : Set Ordinal.{u}} {a : Ordinal.{u}}
instance : TopologicalSpace Ordinal.{u} := Preorder.topology Ordinal.{u}
instance : OrderTopology Ordinal.{u} := ⟨rfl⟩
theorem isOpen_singleton_iff : IsOpen ({a} : Set Ordinal) ↔ ¬IsLimit a := by
refine ⟨fun h ⟨h₀, hsucc⟩ => ?_, fun ha => ?_⟩
· obtain ⟨b, c, hbc, hbc'⟩ :=
(mem_nhds_iff_exists_Ioo_subset' ⟨0, Ordinal.pos_iff_ne_zero.2 h₀⟩ ⟨_, lt_succ a⟩).1
(h.mem_nhds rfl)
have hba := hsucc b hbc.1
exact hba.ne (hbc' ⟨lt_succ b, hba.trans hbc.2⟩)
· rcases zero_or_succ_or_limit a with (rfl | ⟨b, rfl⟩ | ha')
· rw [← bot_eq_zero, ← Set.Iic_bot, ← Iio_succ]
exact isOpen_Iio
· rw [← Set.Icc_self, Icc_succ_left, ← Ioo_succ_right]
exact isOpen_Ioo
· exact (ha ha').elim
#align ordinal.is_open_singleton_iff Ordinal.isOpen_singleton_iff
-- Porting note (#11215): TODO: generalize to a `SuccOrder`
theorem nhds_right' (a : Ordinal) : 𝓝[>] a = ⊥ := (covBy_succ a).nhdsWithin_Ioi
-- todo: generalize to a `SuccOrder`
theorem nhds_left'_eq_nhds_ne (a : Ordinal) : 𝓝[<] a = 𝓝[≠] a := by
rw [← nhds_left'_sup_nhds_right', nhds_right', sup_bot_eq]
-- todo: generalize to a `SuccOrder`
theorem nhds_left_eq_nhds (a : Ordinal) : 𝓝[≤] a = 𝓝 a := by
rw [← nhds_left_sup_nhds_right', nhds_right', sup_bot_eq]
-- todo: generalize to a `SuccOrder`
theorem nhdsBasis_Ioc (h : a ≠ 0) : (𝓝 a).HasBasis (· < a) (Set.Ioc · a) :=
nhds_left_eq_nhds a ▸ nhdsWithin_Iic_basis' ⟨0, h.bot_lt⟩
-- todo: generalize to a `SuccOrder`
theorem nhds_eq_pure : 𝓝 a = pure a ↔ ¬IsLimit a :=
(isOpen_singleton_iff_nhds_eq_pure _).symm.trans isOpen_singleton_iff
-- todo: generalize `Ordinal.IsLimit` and this lemma to a `SuccOrder`
theorem isOpen_iff : IsOpen s ↔ ∀ o ∈ s, IsLimit o → ∃ a < o, Set.Ioo a o ⊆ s := by
refine isOpen_iff_mem_nhds.trans <| forall₂_congr fun o ho => ?_
by_cases ho' : IsLimit o
· simp only [(nhdsBasis_Ioc ho'.1).mem_iff, ho', true_implies]
refine exists_congr fun a => and_congr_right fun ha => ?_
simp only [← Set.Ioo_insert_right ha, Set.insert_subset_iff, ho, true_and]
· simp [nhds_eq_pure.2 ho', ho, ho']
#align ordinal.is_open_iff Ordinal.isOpen_iff
open List Set in
theorem mem_closure_tfae (a : Ordinal.{u}) (s : Set Ordinal) :
TFAE [a ∈ closure s,
a ∈ closure (s ∩ Iic a),
(s ∩ Iic a).Nonempty ∧ sSup (s ∩ Iic a) = a,
∃ t, t ⊆ s ∧ t.Nonempty ∧ BddAbove t ∧ sSup t = a,
∃ (o : Ordinal.{u}), o ≠ 0 ∧ ∃ (f : ∀ x < o, Ordinal),
(∀ x hx, f x hx ∈ s) ∧ bsup.{u, u} o f = a,
∃ (ι : Type u), Nonempty ι ∧ ∃ f : ι → Ordinal, (∀ i, f i ∈ s) ∧ sup.{u, u} f = a] := by
tfae_have 1 → 2
· simp only [mem_closure_iff_nhdsWithin_neBot, inter_comm s, nhdsWithin_inter', nhds_left_eq_nhds]
exact id
tfae_have 2 → 3
· intro h
rcases (s ∩ Iic a).eq_empty_or_nonempty with he | hne
· simp [he] at h
· refine ⟨hne, (isLUB_of_mem_closure ?_ h).csSup_eq hne⟩
exact fun x hx => hx.2
tfae_have 3 → 4
· exact fun h => ⟨_, inter_subset_left, h.1, bddAbove_Iic.mono inter_subset_right, h.2⟩
tfae_have 4 → 5
· rintro ⟨t, hts, hne, hbdd, rfl⟩
have hlub : IsLUB t (sSup t) := isLUB_csSup hne hbdd
let ⟨y, hyt⟩ := hne
classical
refine ⟨succ (sSup t), succ_ne_zero _, fun x _ => if x ∈ t then x else y, fun x _ => ?_, ?_⟩
· simp only
split_ifs with h <;> exact hts ‹_›
· refine le_antisymm (bsup_le fun x _ => ?_) (csSup_le hne fun x hx => ?_)
· split_ifs <;> exact hlub.1 ‹_›
· refine (if_pos hx).symm.trans_le (le_bsup _ _ <| (hlub.1 hx).trans_lt (lt_succ _))
tfae_have 5 → 6
· rintro ⟨o, h₀, f, hfs, rfl⟩
exact ⟨_, out_nonempty_iff_ne_zero.2 h₀, familyOfBFamily o f, fun _ => hfs _ _, rfl⟩
tfae_have 6 → 1
· rintro ⟨ι, hne, f, hfs, rfl⟩
rw [sup, iSup]
exact closure_mono (range_subset_iff.2 hfs) <| csSup_mem_closure (range_nonempty f)
(bddAbove_range.{u, u} f)
tfae_finish
theorem mem_closure_iff_sup :
a ∈ closure s ↔
∃ (ι : Type u) (_ : Nonempty ι) (f : ι → Ordinal), (∀ i, f i ∈ s) ∧ sup.{u, u} f = a :=
((mem_closure_tfae a s).out 0 5).trans <| by simp only [exists_prop]
#align ordinal.mem_closure_iff_sup Ordinal.mem_closure_iff_sup
theorem mem_closed_iff_sup (hs : IsClosed s) :
a ∈ s ↔ ∃ (ι : Type u) (_hι : Nonempty ι) (f : ι → Ordinal),
(∀ i, f i ∈ s) ∧ sup.{u, u} f = a := by
rw [← mem_closure_iff_sup, hs.closure_eq]
#align ordinal.mem_closed_iff_sup Ordinal.mem_closed_iff_sup
theorem mem_closure_iff_bsup :
a ∈ closure s ↔
∃ (o : Ordinal) (_ho : o ≠ 0) (f : ∀ a < o, Ordinal),
(∀ i hi, f i hi ∈ s) ∧ bsup.{u, u} o f = a :=
((mem_closure_tfae a s).out 0 4).trans <| by simp only [exists_prop]
#align ordinal.mem_closure_iff_bsup Ordinal.mem_closure_iff_bsup
theorem mem_closed_iff_bsup (hs : IsClosed s) :
a ∈ s ↔
∃ (o : Ordinal) (_ho : o ≠ 0) (f : ∀ a < o, Ordinal),
(∀ i hi, f i hi ∈ s) ∧ bsup.{u, u} o f = a := by
rw [← mem_closure_iff_bsup, hs.closure_eq]
#align ordinal.mem_closed_iff_bsup Ordinal.mem_closed_iff_bsup
theorem isClosed_iff_sup :
IsClosed s ↔
∀ {ι : Type u}, Nonempty ι → ∀ f : ι → Ordinal, (∀ i, f i ∈ s) → sup.{u, u} f ∈ s := by
use fun hs ι hι f hf => (mem_closed_iff_sup hs).2 ⟨ι, hι, f, hf, rfl⟩
rw [← closure_subset_iff_isClosed]
intro h x hx
rcases mem_closure_iff_sup.1 hx with ⟨ι, hι, f, hf, rfl⟩
exact h hι f hf
#align ordinal.is_closed_iff_sup Ordinal.isClosed_iff_sup
theorem isClosed_iff_bsup :
IsClosed s ↔
∀ {o : Ordinal}, o ≠ 0 → ∀ f : ∀ a < o, Ordinal,
(∀ i hi, f i hi ∈ s) → bsup.{u, u} o f ∈ s := by
rw [isClosed_iff_sup]
refine ⟨fun H o ho f hf => H (out_nonempty_iff_ne_zero.2 ho) _ ?_, fun H ι hι f hf => ?_⟩
· exact fun i => hf _ _
· rw [← bsup_eq_sup]
apply H (type_ne_zero_iff_nonempty.2 hι)
exact fun i hi => hf _
#align ordinal.is_closed_iff_bsup Ordinal.isClosed_iff_bsup
theorem isLimit_of_mem_frontier (ha : a ∈ frontier s) : IsLimit a := by
simp only [frontier_eq_closure_inter_closure, Set.mem_inter_iff, mem_closure_iff] at ha
by_contra h
rw [← isOpen_singleton_iff] at h
rcases ha.1 _ h rfl with ⟨b, hb, hb'⟩
rcases ha.2 _ h rfl with ⟨c, hc, hc'⟩
rw [Set.mem_singleton_iff] at *
subst hb; subst hc
exact hc' hb'
#align ordinal.is_limit_of_mem_frontier Ordinal.isLimit_of_mem_frontier
| Mathlib/SetTheory/Ordinal/Topology.lean | 185 | 205 | theorem isNormal_iff_strictMono_and_continuous (f : Ordinal.{u} → Ordinal.{u}) :
IsNormal f ↔ StrictMono f ∧ Continuous f := by |
refine ⟨fun h => ⟨h.strictMono, ?_⟩, ?_⟩
· rw [continuous_def]
intro s hs
rw [isOpen_iff] at *
intro o ho ho'
rcases hs _ ho (h.isLimit ho') with ⟨a, ha, has⟩
rw [← IsNormal.bsup_eq.{u, u} h ho', lt_bsup] at ha
rcases ha with ⟨b, hb, hab⟩
exact
⟨b, hb, fun c hc =>
Set.mem_preimage.2 (has ⟨hab.trans (h.strictMono hc.1), h.strictMono hc.2⟩)⟩
· rw [isNormal_iff_strictMono_limit]
rintro ⟨h, h'⟩
refine ⟨h, fun o ho a h => ?_⟩
suffices o ∈ f ⁻¹' Set.Iic a from Set.mem_preimage.1 this
rw [mem_closed_iff_sup (IsClosed.preimage h' (@isClosed_Iic _ _ _ _ a))]
exact
⟨_, out_nonempty_iff_ne_zero.2 ho.1, typein (· < ·), fun i => h _ (typein_lt_self i),
sup_typein_limit ho.2⟩
|
import Mathlib.Algebra.NeZero
import Mathlib.Algebra.Polynomial.BigOperators
import Mathlib.Algebra.Polynomial.Lifts
import Mathlib.Algebra.Polynomial.Splits
import Mathlib.RingTheory.RootsOfUnity.Complex
import Mathlib.NumberTheory.ArithmeticFunction
import Mathlib.RingTheory.RootsOfUnity.Basic
import Mathlib.FieldTheory.RatFunc.AsPolynomial
#align_import ring_theory.polynomial.cyclotomic.basic from "leanprover-community/mathlib"@"7fdeecc0d03cd40f7a165e6cf00a4d2286db599f"
open scoped Polynomial
noncomputable section
universe u
namespace Polynomial
section Cyclotomic'
section IsDomain
variable {R : Type*} [CommRing R] [IsDomain R]
def cyclotomic' (n : ℕ) (R : Type*) [CommRing R] [IsDomain R] : R[X] :=
∏ μ ∈ primitiveRoots n R, (X - C μ)
#align polynomial.cyclotomic' Polynomial.cyclotomic'
@[simp]
theorem cyclotomic'_zero (R : Type*) [CommRing R] [IsDomain R] : cyclotomic' 0 R = 1 := by
simp only [cyclotomic', Finset.prod_empty, primitiveRoots_zero]
#align polynomial.cyclotomic'_zero Polynomial.cyclotomic'_zero
@[simp]
theorem cyclotomic'_one (R : Type*) [CommRing R] [IsDomain R] : cyclotomic' 1 R = X - 1 := by
simp only [cyclotomic', Finset.prod_singleton, RingHom.map_one,
IsPrimitiveRoot.primitiveRoots_one]
#align polynomial.cyclotomic'_one Polynomial.cyclotomic'_one
@[simp]
theorem cyclotomic'_two (R : Type*) [CommRing R] [IsDomain R] (p : ℕ) [CharP R p] (hp : p ≠ 2) :
cyclotomic' 2 R = X + 1 := by
rw [cyclotomic']
have prim_root_two : primitiveRoots 2 R = {(-1 : R)} := by
simp only [Finset.eq_singleton_iff_unique_mem, mem_primitiveRoots two_pos]
exact ⟨IsPrimitiveRoot.neg_one p hp, fun x => IsPrimitiveRoot.eq_neg_one_of_two_right⟩
simp only [prim_root_two, Finset.prod_singleton, RingHom.map_neg, RingHom.map_one, sub_neg_eq_add]
#align polynomial.cyclotomic'_two Polynomial.cyclotomic'_two
theorem cyclotomic'.monic (n : ℕ) (R : Type*) [CommRing R] [IsDomain R] :
(cyclotomic' n R).Monic :=
monic_prod_of_monic _ _ fun _ _ => monic_X_sub_C _
#align polynomial.cyclotomic'.monic Polynomial.cyclotomic'.monic
theorem cyclotomic'_ne_zero (n : ℕ) (R : Type*) [CommRing R] [IsDomain R] : cyclotomic' n R ≠ 0 :=
(cyclotomic'.monic n R).ne_zero
#align polynomial.cyclotomic'_ne_zero Polynomial.cyclotomic'_ne_zero
theorem natDegree_cyclotomic' {ζ : R} {n : ℕ} (h : IsPrimitiveRoot ζ n) :
(cyclotomic' n R).natDegree = Nat.totient n := by
rw [cyclotomic']
rw [natDegree_prod (primitiveRoots n R) fun z : R => X - C z]
· simp only [IsPrimitiveRoot.card_primitiveRoots h, mul_one, natDegree_X_sub_C, Nat.cast_id,
Finset.sum_const, nsmul_eq_mul]
intro z _
exact X_sub_C_ne_zero z
#align polynomial.nat_degree_cyclotomic' Polynomial.natDegree_cyclotomic'
theorem degree_cyclotomic' {ζ : R} {n : ℕ} (h : IsPrimitiveRoot ζ n) :
(cyclotomic' n R).degree = Nat.totient n := by
simp only [degree_eq_natDegree (cyclotomic'_ne_zero n R), natDegree_cyclotomic' h]
#align polynomial.degree_cyclotomic' Polynomial.degree_cyclotomic'
| Mathlib/RingTheory/Polynomial/Cyclotomic/Basic.lean | 124 | 126 | theorem roots_of_cyclotomic (n : ℕ) (R : Type*) [CommRing R] [IsDomain R] :
(cyclotomic' n R).roots = (primitiveRoots n R).val := by |
rw [cyclotomic']; exact roots_prod_X_sub_C (primitiveRoots n R)
|
import Mathlib.Algebra.Group.Support
import Mathlib.Algebra.Order.Monoid.WithTop
import Mathlib.Data.Nat.Cast.Field
#align_import algebra.char_zero.lemmas from "leanprover-community/mathlib"@"acee671f47b8e7972a1eb6f4eed74b4b3abce829"
open Function Set
section AddMonoidWithOne
variable {α M : Type*} [AddMonoidWithOne M] [CharZero M] {n : ℕ}
instance CharZero.NeZero.two : NeZero (2 : M) :=
⟨by
have : ((2 : ℕ) : M) ≠ 0 := Nat.cast_ne_zero.2 (by decide)
rwa [Nat.cast_two] at this⟩
#align char_zero.ne_zero.two CharZero.NeZero.two
section
variable {R : Type*} [NonAssocSemiring R] [NoZeroDivisors R] [CharZero R] {a : R}
@[simp]
theorem add_self_eq_zero {a : R} : a + a = 0 ↔ a = 0 := by
simp only [(two_mul a).symm, mul_eq_zero, two_ne_zero, false_or_iff]
#align add_self_eq_zero add_self_eq_zero
set_option linter.deprecated false
@[simp]
theorem bit0_eq_zero {a : R} : bit0 a = 0 ↔ a = 0 :=
add_self_eq_zero
#align bit0_eq_zero bit0_eq_zero
@[simp]
theorem zero_eq_bit0 {a : R} : 0 = bit0 a ↔ a = 0 := by
rw [eq_comm]
exact bit0_eq_zero
#align zero_eq_bit0 zero_eq_bit0
theorem bit0_ne_zero : bit0 a ≠ 0 ↔ a ≠ 0 :=
bit0_eq_zero.not
#align bit0_ne_zero bit0_ne_zero
theorem zero_ne_bit0 : 0 ≠ bit0 a ↔ a ≠ 0 :=
zero_eq_bit0.not
#align zero_ne_bit0 zero_ne_bit0
end
section
variable {R : Type*} [NonAssocRing R] [NoZeroDivisors R] [CharZero R]
@[simp] theorem neg_eq_self_iff {a : R} : -a = a ↔ a = 0 :=
neg_eq_iff_add_eq_zero.trans add_self_eq_zero
#align neg_eq_self_iff neg_eq_self_iff
@[simp] theorem eq_neg_self_iff {a : R} : a = -a ↔ a = 0 :=
eq_neg_iff_add_eq_zero.trans add_self_eq_zero
#align eq_neg_self_iff eq_neg_self_iff
theorem nat_mul_inj {n : ℕ} {a b : R} (h : (n : R) * a = (n : R) * b) : n = 0 ∨ a = b := by
rw [← sub_eq_zero, ← mul_sub, mul_eq_zero, sub_eq_zero] at h
exact mod_cast h
#align nat_mul_inj nat_mul_inj
theorem nat_mul_inj' {n : ℕ} {a b : R} (h : (n : R) * a = (n : R) * b) (w : n ≠ 0) : a = b := by
simpa [w] using nat_mul_inj h
#align nat_mul_inj' nat_mul_inj'
set_option linter.deprecated false
theorem bit0_injective : Function.Injective (bit0 : R → R) := fun a b h => by
dsimp [bit0] at h
simp only [(two_mul a).symm, (two_mul b).symm] at h
refine nat_mul_inj' ?_ two_ne_zero
exact mod_cast h
#align bit0_injective bit0_injective
theorem bit1_injective : Function.Injective (bit1 : R → R) := fun a b h => by
simp only [bit1, add_left_inj] at h
exact bit0_injective h
#align bit1_injective bit1_injective
@[simp]
theorem bit0_eq_bit0 {a b : R} : bit0 a = bit0 b ↔ a = b :=
bit0_injective.eq_iff
#align bit0_eq_bit0 bit0_eq_bit0
@[simp]
theorem bit1_eq_bit1 {a b : R} : bit1 a = bit1 b ↔ a = b :=
bit1_injective.eq_iff
#align bit1_eq_bit1 bit1_eq_bit1
@[simp]
theorem bit1_eq_one {a : R} : bit1 a = 1 ↔ a = 0 := by
rw [show (1 : R) = bit1 0 by simp, bit1_eq_bit1]
#align bit1_eq_one bit1_eq_one
@[simp]
theorem one_eq_bit1 {a : R} : 1 = bit1 a ↔ a = 0 := by
rw [eq_comm]
exact bit1_eq_one
#align one_eq_bit1 one_eq_bit1
end
section
variable {R : Type*} [DivisionRing R] [CharZero R]
@[simp] lemma half_add_self (a : R) : (a + a) / 2 = a := by
rw [← mul_two, mul_div_cancel_right₀ a two_ne_zero]
#align half_add_self half_add_self
@[simp]
| Mathlib/Algebra/CharZero/Lemmas.lean | 182 | 182 | theorem add_halves' (a : R) : a / 2 + a / 2 = a := by | rw [← add_div, half_add_self]
|
import Mathlib.Init.Control.Combinators
import Mathlib.Data.Option.Defs
import Mathlib.Logic.IsEmpty
import Mathlib.Logic.Relator
import Mathlib.Util.CompileInductive
import Aesop
#align_import data.option.basic from "leanprover-community/mathlib"@"f340f229b1f461aa1c8ee11e0a172d0a3b301a4a"
universe u
namespace Option
variable {α β γ δ : Type*}
theorem coe_def : (fun a ↦ ↑a : α → Option α) = some :=
rfl
#align option.coe_def Option.coe_def
theorem mem_map {f : α → β} {y : β} {o : Option α} : y ∈ o.map f ↔ ∃ x ∈ o, f x = y := by simp
#align option.mem_map Option.mem_map
-- The simpNF linter says that the LHS can be simplified via `Option.mem_def`.
-- However this is a higher priority lemma.
-- https://github.com/leanprover/std4/issues/207
@[simp 1100, nolint simpNF]
theorem mem_map_of_injective {f : α → β} (H : Function.Injective f) {a : α} {o : Option α} :
f a ∈ o.map f ↔ a ∈ o := by
aesop
theorem forall_mem_map {f : α → β} {o : Option α} {p : β → Prop} :
(∀ y ∈ o.map f, p y) ↔ ∀ x ∈ o, p (f x) := by simp
#align option.forall_mem_map Option.forall_mem_map
theorem exists_mem_map {f : α → β} {o : Option α} {p : β → Prop} :
(∃ y ∈ o.map f, p y) ↔ ∃ x ∈ o, p (f x) := by simp
#align option.exists_mem_map Option.exists_mem_map
theorem coe_get {o : Option α} (h : o.isSome) : ((Option.get _ h : α) : Option α) = o :=
Option.some_get h
#align option.coe_get Option.coe_get
theorem eq_of_mem_of_mem {a : α} {o1 o2 : Option α} (h1 : a ∈ o1) (h2 : a ∈ o2) : o1 = o2 :=
h1.trans h2.symm
#align option.eq_of_mem_of_mem Option.eq_of_mem_of_mem
theorem Mem.leftUnique : Relator.LeftUnique ((· ∈ ·) : α → Option α → Prop) :=
fun _ _ _=> mem_unique
#align option.mem.left_unique Option.Mem.leftUnique
theorem some_injective (α : Type*) : Function.Injective (@some α) := fun _ _ ↦ some_inj.mp
#align option.some_injective Option.some_injective
theorem map_injective {f : α → β} (Hf : Function.Injective f) : Function.Injective (Option.map f)
| none, none, _ => rfl
| some a₁, some a₂, H => by rw [Hf (Option.some.inj H)]
#align option.map_injective Option.map_injective
@[simp]
theorem map_comp_some (f : α → β) : Option.map f ∘ some = some ∘ f :=
rfl
#align option.map_comp_some Option.map_comp_some
@[simp]
theorem none_bind' (f : α → Option β) : none.bind f = none :=
rfl
#align option.none_bind' Option.none_bind'
@[simp]
theorem some_bind' (a : α) (f : α → Option β) : (some a).bind f = f a :=
rfl
#align option.some_bind' Option.some_bind'
theorem bind_eq_some' {x : Option α} {f : α → Option β} {b : β} :
x.bind f = some b ↔ ∃ a, x = some a ∧ f a = some b := by
cases x <;> simp
#align option.bind_eq_some' Option.bind_eq_some'
#align option.bind_eq_none' Option.bind_eq_none'
theorem bind_congr {f g : α → Option β} {x : Option α}
(h : ∀ a ∈ x, f a = g a) : x.bind f = x.bind g := by
cases x <;> simp only [some_bind, none_bind, mem_def, h]
@[congr]
theorem bind_congr' {f g : α → Option β} {x y : Option α} (hx : x = y)
(hf : ∀ a ∈ y, f a = g a) : x.bind f = y.bind g :=
hx.symm ▸ bind_congr hf
theorem joinM_eq_join : joinM = @join α :=
funext fun _ ↦ rfl
#align option.join_eq_join Option.joinM_eq_join
theorem bind_eq_bind' {α β : Type u} {f : α → Option β} {x : Option α} : x >>= f = x.bind f :=
rfl
#align option.bind_eq_bind Option.bind_eq_bind'
theorem map_coe {α β} {a : α} {f : α → β} : f <$> (a : Option α) = ↑(f a) :=
rfl
#align option.map_coe Option.map_coe
@[simp]
theorem map_coe' {a : α} {f : α → β} : Option.map f (a : Option α) = ↑(f a) :=
rfl
#align option.map_coe' Option.map_coe'
theorem map_injective' : Function.Injective (@Option.map α β) := fun f g h ↦
funext fun x ↦ some_injective _ <| by simp only [← map_some', h]
#align option.map_injective' Option.map_injective'
@[simp]
theorem map_inj {f g : α → β} : Option.map f = Option.map g ↔ f = g :=
map_injective'.eq_iff
#align option.map_inj Option.map_inj
attribute [simp] map_id
@[simp]
theorem map_eq_id {f : α → α} : Option.map f = id ↔ f = id :=
map_injective'.eq_iff' map_id
#align option.map_eq_id Option.map_eq_id
theorem map_comm {f₁ : α → β} {f₂ : α → γ} {g₁ : β → δ} {g₂ : γ → δ} (h : g₁ ∘ f₁ = g₂ ∘ f₂)
(a : α) :
(Option.map f₁ a).map g₁ = (Option.map f₂ a).map g₂ := by rw [map_map, h, ← map_map]
#align option.map_comm Option.map_comm
@[simp]
theorem seq_some {α β} {a : α} {f : α → β} : some f <*> some a = some (f a) :=
rfl
#align option.seq_some Option.seq_some
@[simp]
theorem some_orElse' (a : α) (x : Option α) : (some a).orElse (fun _ ↦ x) = some a :=
rfl
#align option.some_orelse' Option.some_orElse'
#align option.some_orelse Option.some_orElse
@[simp]
theorem none_orElse' (x : Option α) : none.orElse (fun _ ↦ x) = x := by cases x <;> rfl
#align option.none_orelse' Option.none_orElse'
#align option.none_orelse Option.none_orElse
@[simp]
theorem orElse_none' (x : Option α) : x.orElse (fun _ ↦ none) = x := by cases x <;> rfl
#align option.orelse_none' Option.orElse_none'
#align option.orelse_none Option.orElse_none
#align option.is_some_none Option.isSome_none
#align option.is_some_some Option.isSome_some
#align option.is_some_iff_exists Option.isSome_iff_exists
#align option.is_none_none Option.isNone_none
#align option.is_none_some Option.isNone_some
#align option.not_is_some Option.not_isSome
#align option.not_is_some_iff_eq_none Option.not_isSome_iff_eq_none
#align option.ne_none_iff_is_some Option.ne_none_iff_isSome
theorem exists_ne_none {p : Option α → Prop} : (∃ x ≠ none, p x) ↔ (∃ x : α, p x) := by
simp only [← exists_prop, bex_ne_none]
@[simp]
theorem isSome_map (f : α → β) (o : Option α) : isSome (o.map f) = isSome o := by
cases o <;> rfl
@[simp]
theorem get_map (f : α → β) {o : Option α} (h : isSome (o.map f)) :
(o.map f).get h = f (o.get (by rwa [← isSome_map])) := by
cases o <;> [simp at h; rfl]
theorem iget_mem [Inhabited α] : ∀ {o : Option α}, isSome o → o.iget ∈ o
| some _, _ => rfl
#align option.iget_mem Option.iget_mem
theorem iget_of_mem [Inhabited α] {a : α} : ∀ {o : Option α}, a ∈ o → o.iget = a
| _, rfl => rfl
#align option.iget_of_mem Option.iget_of_mem
theorem getD_default_eq_iget [Inhabited α] (o : Option α) :
o.getD default = o.iget := by cases o <;> rfl
#align option.get_or_else_default_eq_iget Option.getD_default_eq_iget
@[simp]
theorem guard_eq_some' {p : Prop} [Decidable p] (u) : _root_.guard p = some u ↔ p := by
cases u
by_cases h : p <;> simp [_root_.guard, h]
#align option.guard_eq_some' Option.guard_eq_some'
theorem liftOrGet_choice {f : α → α → α} (h : ∀ a b, f a b = a ∨ f a b = b) :
∀ o₁ o₂, liftOrGet f o₁ o₂ = o₁ ∨ liftOrGet f o₁ o₂ = o₂
| none, none => Or.inl rfl
| some a, none => Or.inl rfl
| none, some b => Or.inr rfl
| some a, some b => by simpa [liftOrGet] using h a b
#align option.lift_or_get_choice Option.liftOrGet_choice
#align option.lift_or_get_none_left Option.liftOrGet_none_left
#align option.lift_or_get_none_right Option.liftOrGet_none_right
#align option.lift_or_get_some_some Option.liftOrGet_some_some
def casesOn' : Option α → β → (α → β) → β
| none, n, _ => n
| some a, _, s => s a
#align option.cases_on' Option.casesOn'
@[simp]
theorem casesOn'_none (x : β) (f : α → β) : casesOn' none x f = x :=
rfl
#align option.cases_on'_none Option.casesOn'_none
@[simp]
theorem casesOn'_some (x : β) (f : α → β) (a : α) : casesOn' (some a) x f = f a :=
rfl
#align option.cases_on'_some Option.casesOn'_some
@[simp]
theorem casesOn'_coe (x : β) (f : α → β) (a : α) : casesOn' (a : Option α) x f = f a :=
rfl
#align option.cases_on'_coe Option.casesOn'_coe
-- Porting note: Left-hand side does not simplify.
-- @[simp]
theorem casesOn'_none_coe (f : Option α → β) (o : Option α) :
casesOn' o (f none) (f ∘ (fun a ↦ ↑a)) = f o := by cases o <;> rfl
#align option.cases_on'_none_coe Option.casesOn'_none_coe
lemma casesOn'_eq_elim (b : β) (f : α → β) (a : Option α) :
Option.casesOn' a b f = Option.elim a b f := by cases a <;> rfl
-- porting note: workaround for leanprover/lean4#2049
compile_inductive% Option
theorem orElse_eq_some (o o' : Option α) (x : α) :
(o <|> o') = some x ↔ o = some x ∨ o = none ∧ o' = some x := by
cases o
· simp only [true_and, false_or, eq_self_iff_true, none_orElse]
· simp only [some_orElse, or_false, false_and]
#align option.orelse_eq_some Option.orElse_eq_some
theorem orElse_eq_some' (o o' : Option α) (x : α) :
o.orElse (fun _ ↦ o') = some x ↔ o = some x ∨ o = none ∧ o' = some x :=
Option.orElse_eq_some o o' x
#align option.orelse_eq_some' Option.orElse_eq_some'
@[simp]
theorem orElse_eq_none (o o' : Option α) : (o <|> o') = none ↔ o = none ∧ o' = none := by
cases o
· simp only [true_and, none_orElse, eq_self_iff_true]
· simp only [some_orElse, false_and]
#align option.orelse_eq_none Option.orElse_eq_none
@[simp]
theorem orElse_eq_none' (o o' : Option α) : o.orElse (fun _ ↦ o') = none ↔ o = none ∧ o' = none :=
Option.orElse_eq_none o o'
#align option.orelse_eq_none' Option.orElse_eq_none'
section
open scoped Classical
theorem choice_eq_none (α : Type*) [IsEmpty α] : choice α = none :=
dif_neg (not_nonempty_iff_imp_false.mpr isEmptyElim)
#align option.choice_eq_none Option.choice_eq_none
#align option.choice_is_some_iff_nonempty Option.choice_isSome_iff_nonempty
end
-- Porting note: Can't simp tag this anymore because `elim` simplifies
-- @[simp]
theorem elim_none_some (f : Option α → β) : (fun x ↦ Option.elim x (f none) (f ∘ some)) = f :=
funext fun o ↦ by cases o <;> rfl
#align option.elim_none_some Option.elim_none_some
theorem elim_comp (h : α → β) {f : γ → α} {x : α} {i : Option γ} :
(i.elim (h x) fun j => h (f j)) = h (i.elim x f) := by cases i <;> rfl
| Mathlib/Data/Option/Basic.lean | 446 | 448 | theorem elim_comp₂ (h : α → β → γ) {f : γ → α} {x : α} {g : γ → β} {y : β}
{i : Option γ} : (i.elim (h x y) fun j => h (f j) (g j)) = h (i.elim x f) (i.elim y g) := by |
cases i <;> rfl
|
import Mathlib.Algebra.Order.ZeroLEOne
import Mathlib.Data.List.InsertNth
import Mathlib.Logic.Relation
import Mathlib.Logic.Small.Defs
import Mathlib.Order.GameAdd
#align_import set_theory.game.pgame from "leanprover-community/mathlib"@"8900d545017cd21961daa2a1734bb658ef52c618"
set_option autoImplicit true
namespace SetTheory
open Function Relation
-- We'd like to be able to use multi-character auto-implicits in this file.
set_option relaxedAutoImplicit true
inductive PGame : Type (u + 1)
| mk : ∀ α β : Type u, (α → PGame) → (β → PGame) → PGame
#align pgame SetTheory.PGame
compile_inductive% PGame
namespace PGame
def LeftMoves : PGame → Type u
| mk l _ _ _ => l
#align pgame.left_moves SetTheory.PGame.LeftMoves
def RightMoves : PGame → Type u
| mk _ r _ _ => r
#align pgame.right_moves SetTheory.PGame.RightMoves
def moveLeft : ∀ g : PGame, LeftMoves g → PGame
| mk _l _ L _ => L
#align pgame.move_left SetTheory.PGame.moveLeft
def moveRight : ∀ g : PGame, RightMoves g → PGame
| mk _ _r _ R => R
#align pgame.move_right SetTheory.PGame.moveRight
@[simp]
theorem leftMoves_mk {xl xr xL xR} : (⟨xl, xr, xL, xR⟩ : PGame).LeftMoves = xl :=
rfl
#align pgame.left_moves_mk SetTheory.PGame.leftMoves_mk
@[simp]
theorem moveLeft_mk {xl xr xL xR} : (⟨xl, xr, xL, xR⟩ : PGame).moveLeft = xL :=
rfl
#align pgame.move_left_mk SetTheory.PGame.moveLeft_mk
@[simp]
theorem rightMoves_mk {xl xr xL xR} : (⟨xl, xr, xL, xR⟩ : PGame).RightMoves = xr :=
rfl
#align pgame.right_moves_mk SetTheory.PGame.rightMoves_mk
@[simp]
theorem moveRight_mk {xl xr xL xR} : (⟨xl, xr, xL, xR⟩ : PGame).moveRight = xR :=
rfl
#align pgame.move_right_mk SetTheory.PGame.moveRight_mk
-- TODO define this at the level of games, as well, and perhaps also for finsets of games.
def ofLists (L R : List PGame.{u}) : PGame.{u} :=
mk (ULift (Fin L.length)) (ULift (Fin R.length)) (fun i => L.get i.down) fun j ↦ R.get j.down
#align pgame.of_lists SetTheory.PGame.ofLists
theorem leftMoves_ofLists (L R : List PGame) : (ofLists L R).LeftMoves = ULift (Fin L.length) :=
rfl
#align pgame.left_moves_of_lists SetTheory.PGame.leftMoves_ofLists
theorem rightMoves_ofLists (L R : List PGame) : (ofLists L R).RightMoves = ULift (Fin R.length) :=
rfl
#align pgame.right_moves_of_lists SetTheory.PGame.rightMoves_ofLists
def toOfListsLeftMoves {L R : List PGame} : Fin L.length ≃ (ofLists L R).LeftMoves :=
((Equiv.cast (leftMoves_ofLists L R).symm).trans Equiv.ulift).symm
#align pgame.to_of_lists_left_moves SetTheory.PGame.toOfListsLeftMoves
def toOfListsRightMoves {L R : List PGame} : Fin R.length ≃ (ofLists L R).RightMoves :=
((Equiv.cast (rightMoves_ofLists L R).symm).trans Equiv.ulift).symm
#align pgame.to_of_lists_right_moves SetTheory.PGame.toOfListsRightMoves
theorem ofLists_moveLeft {L R : List PGame} (i : Fin L.length) :
(ofLists L R).moveLeft (toOfListsLeftMoves i) = L.get i :=
rfl
#align pgame.of_lists_move_left SetTheory.PGame.ofLists_moveLeft
@[simp]
theorem ofLists_moveLeft' {L R : List PGame} (i : (ofLists L R).LeftMoves) :
(ofLists L R).moveLeft i = L.get (toOfListsLeftMoves.symm i) :=
rfl
#align pgame.of_lists_move_left' SetTheory.PGame.ofLists_moveLeft'
theorem ofLists_moveRight {L R : List PGame} (i : Fin R.length) :
(ofLists L R).moveRight (toOfListsRightMoves i) = R.get i :=
rfl
#align pgame.of_lists_move_right SetTheory.PGame.ofLists_moveRight
@[simp]
theorem ofLists_moveRight' {L R : List PGame} (i : (ofLists L R).RightMoves) :
(ofLists L R).moveRight i = R.get (toOfListsRightMoves.symm i) :=
rfl
#align pgame.of_lists_move_right' SetTheory.PGame.ofLists_moveRight'
@[elab_as_elim]
def moveRecOn {C : PGame → Sort*} (x : PGame)
(IH : ∀ y : PGame, (∀ i, C (y.moveLeft i)) → (∀ j, C (y.moveRight j)) → C y) : C x :=
x.recOn fun yl yr yL yR => IH (mk yl yr yL yR)
#align pgame.move_rec_on SetTheory.PGame.moveRecOn
@[mk_iff]
inductive IsOption : PGame → PGame → Prop
| moveLeft {x : PGame} (i : x.LeftMoves) : IsOption (x.moveLeft i) x
| moveRight {x : PGame} (i : x.RightMoves) : IsOption (x.moveRight i) x
#align pgame.is_option SetTheory.PGame.IsOption
theorem IsOption.mk_left {xl xr : Type u} (xL : xl → PGame) (xR : xr → PGame) (i : xl) :
(xL i).IsOption (mk xl xr xL xR) :=
@IsOption.moveLeft (mk _ _ _ _) i
#align pgame.is_option.mk_left SetTheory.PGame.IsOption.mk_left
theorem IsOption.mk_right {xl xr : Type u} (xL : xl → PGame) (xR : xr → PGame) (i : xr) :
(xR i).IsOption (mk xl xr xL xR) :=
@IsOption.moveRight (mk _ _ _ _) i
#align pgame.is_option.mk_right SetTheory.PGame.IsOption.mk_right
theorem wf_isOption : WellFounded IsOption :=
⟨fun x =>
moveRecOn x fun x IHl IHr =>
Acc.intro x fun y h => by
induction' h with _ i _ j
· exact IHl i
· exact IHr j⟩
#align pgame.wf_is_option SetTheory.PGame.wf_isOption
def Subsequent : PGame → PGame → Prop :=
TransGen IsOption
#align pgame.subsequent SetTheory.PGame.Subsequent
instance : IsTrans _ Subsequent :=
inferInstanceAs <| IsTrans _ (TransGen _)
@[trans]
theorem Subsequent.trans {x y z} : Subsequent x y → Subsequent y z → Subsequent x z :=
TransGen.trans
#align pgame.subsequent.trans SetTheory.PGame.Subsequent.trans
theorem wf_subsequent : WellFounded Subsequent :=
wf_isOption.transGen
#align pgame.wf_subsequent SetTheory.PGame.wf_subsequent
instance : WellFoundedRelation PGame :=
⟨_, wf_subsequent⟩
@[simp]
theorem Subsequent.moveLeft {x : PGame} (i : x.LeftMoves) : Subsequent (x.moveLeft i) x :=
TransGen.single (IsOption.moveLeft i)
#align pgame.subsequent.move_left SetTheory.PGame.Subsequent.moveLeft
@[simp]
theorem Subsequent.moveRight {x : PGame} (j : x.RightMoves) : Subsequent (x.moveRight j) x :=
TransGen.single (IsOption.moveRight j)
#align pgame.subsequent.move_right SetTheory.PGame.Subsequent.moveRight
@[simp]
theorem Subsequent.mk_left {xl xr} (xL : xl → PGame) (xR : xr → PGame) (i : xl) :
Subsequent (xL i) (mk xl xr xL xR) :=
@Subsequent.moveLeft (mk _ _ _ _) i
#align pgame.subsequent.mk_left SetTheory.PGame.Subsequent.mk_left
@[simp]
theorem Subsequent.mk_right {xl xr} (xL : xl → PGame) (xR : xr → PGame) (j : xr) :
Subsequent (xR j) (mk xl xr xL xR) :=
@Subsequent.moveRight (mk _ _ _ _) j
#align pgame.subsequent.mk_right SetTheory.PGame.Subsequent.mk_right
macro "pgame_wf_tac" : tactic =>
`(tactic| solve_by_elim (config := { maxDepth := 8 })
[Prod.Lex.left, Prod.Lex.right, PSigma.Lex.left, PSigma.Lex.right,
Subsequent.moveLeft, Subsequent.moveRight, Subsequent.mk_left, Subsequent.mk_right,
Subsequent.trans] )
-- Register some consequences of pgame_wf_tac as simp-lemmas for convenience
-- (which are applied by default for WF goals)
-- This is different from mk_right from the POV of the simplifier,
-- because the unifier can't solve `xr =?= RightMoves (mk xl xr xL xR)` at reducible transparency.
@[simp]
theorem Subsequent.mk_right' (xL : xl → PGame) (xR : xr → PGame) (j : RightMoves (mk xl xr xL xR)) :
Subsequent (xR j) (mk xl xr xL xR) := by
pgame_wf_tac
@[simp] theorem Subsequent.moveRight_mk_left (xL : xl → PGame) (j) :
Subsequent ((xL i).moveRight j) (mk xl xr xL xR) := by
pgame_wf_tac
@[simp] theorem Subsequent.moveRight_mk_right (xR : xr → PGame) (j) :
Subsequent ((xR i).moveRight j) (mk xl xr xL xR) := by
pgame_wf_tac
@[simp] theorem Subsequent.moveLeft_mk_left (xL : xl → PGame) (j) :
Subsequent ((xL i).moveLeft j) (mk xl xr xL xR) := by
pgame_wf_tac
@[simp] theorem Subsequent.moveLeft_mk_right (xR : xr → PGame) (j) :
Subsequent ((xR i).moveLeft j) (mk xl xr xL xR) := by
pgame_wf_tac
-- Porting note: linter claims these lemmas don't simplify?
open Subsequent in attribute [nolint simpNF] mk_left mk_right mk_right'
moveRight_mk_left moveRight_mk_right moveLeft_mk_left moveLeft_mk_right
instance : Zero PGame :=
⟨⟨PEmpty, PEmpty, PEmpty.elim, PEmpty.elim⟩⟩
@[simp]
theorem zero_leftMoves : LeftMoves 0 = PEmpty :=
rfl
#align pgame.zero_left_moves SetTheory.PGame.zero_leftMoves
@[simp]
theorem zero_rightMoves : RightMoves 0 = PEmpty :=
rfl
#align pgame.zero_right_moves SetTheory.PGame.zero_rightMoves
instance isEmpty_zero_leftMoves : IsEmpty (LeftMoves 0) :=
instIsEmptyPEmpty
#align pgame.is_empty_zero_left_moves SetTheory.PGame.isEmpty_zero_leftMoves
instance isEmpty_zero_rightMoves : IsEmpty (RightMoves 0) :=
instIsEmptyPEmpty
#align pgame.is_empty_zero_right_moves SetTheory.PGame.isEmpty_zero_rightMoves
instance : Inhabited PGame :=
⟨0⟩
instance instOnePGame : One PGame :=
⟨⟨PUnit, PEmpty, fun _ => 0, PEmpty.elim⟩⟩
@[simp]
theorem one_leftMoves : LeftMoves 1 = PUnit :=
rfl
#align pgame.one_left_moves SetTheory.PGame.one_leftMoves
@[simp]
theorem one_moveLeft (x) : moveLeft 1 x = 0 :=
rfl
#align pgame.one_move_left SetTheory.PGame.one_moveLeft
@[simp]
theorem one_rightMoves : RightMoves 1 = PEmpty :=
rfl
#align pgame.one_right_moves SetTheory.PGame.one_rightMoves
instance uniqueOneLeftMoves : Unique (LeftMoves 1) :=
PUnit.unique
#align pgame.unique_one_left_moves SetTheory.PGame.uniqueOneLeftMoves
instance isEmpty_one_rightMoves : IsEmpty (RightMoves 1) :=
instIsEmptyPEmpty
#align pgame.is_empty_one_right_moves SetTheory.PGame.isEmpty_one_rightMoves
instance le : LE PGame :=
⟨Sym2.GameAdd.fix wf_isOption fun x y le =>
(∀ i, ¬le y (x.moveLeft i) (Sym2.GameAdd.snd_fst <| IsOption.moveLeft i)) ∧
∀ j, ¬le (y.moveRight j) x (Sym2.GameAdd.fst_snd <| IsOption.moveRight j)⟩
def LF (x y : PGame) : Prop :=
¬y ≤ x
#align pgame.lf SetTheory.PGame.LF
@[inherit_doc]
scoped infixl:50 " ⧏ " => PGame.LF
@[simp]
protected theorem not_le {x y : PGame} : ¬x ≤ y ↔ y ⧏ x :=
Iff.rfl
#align pgame.not_le SetTheory.PGame.not_le
@[simp]
theorem not_lf {x y : PGame} : ¬x ⧏ y ↔ y ≤ x :=
Classical.not_not
#align pgame.not_lf SetTheory.PGame.not_lf
theorem _root_.LE.le.not_gf {x y : PGame} : x ≤ y → ¬y ⧏ x :=
not_lf.2
#align has_le.le.not_gf LE.le.not_gf
theorem LF.not_ge {x y : PGame} : x ⧏ y → ¬y ≤ x :=
id
#align pgame.lf.not_ge SetTheory.PGame.LF.not_ge
theorem le_iff_forall_lf {x y : PGame} :
x ≤ y ↔ (∀ i, x.moveLeft i ⧏ y) ∧ ∀ j, x ⧏ y.moveRight j := by
unfold LE.le le
simp only
rw [Sym2.GameAdd.fix_eq]
rfl
#align pgame.le_iff_forall_lf SetTheory.PGame.le_iff_forall_lf
@[simp]
theorem mk_le_mk {xl xr xL xR yl yr yL yR} :
mk xl xr xL xR ≤ mk yl yr yL yR ↔ (∀ i, xL i ⧏ mk yl yr yL yR) ∧ ∀ j, mk xl xr xL xR ⧏ yR j :=
le_iff_forall_lf
#align pgame.mk_le_mk SetTheory.PGame.mk_le_mk
theorem le_of_forall_lf {x y : PGame} (h₁ : ∀ i, x.moveLeft i ⧏ y) (h₂ : ∀ j, x ⧏ y.moveRight j) :
x ≤ y :=
le_iff_forall_lf.2 ⟨h₁, h₂⟩
#align pgame.le_of_forall_lf SetTheory.PGame.le_of_forall_lf
theorem lf_iff_exists_le {x y : PGame} :
x ⧏ y ↔ (∃ i, x ≤ y.moveLeft i) ∨ ∃ j, x.moveRight j ≤ y := by
rw [LF, le_iff_forall_lf, not_and_or]
simp
#align pgame.lf_iff_exists_le SetTheory.PGame.lf_iff_exists_le
@[simp]
theorem mk_lf_mk {xl xr xL xR yl yr yL yR} :
mk xl xr xL xR ⧏ mk yl yr yL yR ↔ (∃ i, mk xl xr xL xR ≤ yL i) ∨ ∃ j, xR j ≤ mk yl yr yL yR :=
lf_iff_exists_le
#align pgame.mk_lf_mk SetTheory.PGame.mk_lf_mk
theorem le_or_gf (x y : PGame) : x ≤ y ∨ y ⧏ x := by
rw [← PGame.not_le]
apply em
#align pgame.le_or_gf SetTheory.PGame.le_or_gf
theorem moveLeft_lf_of_le {x y : PGame} (h : x ≤ y) (i) : x.moveLeft i ⧏ y :=
(le_iff_forall_lf.1 h).1 i
#align pgame.move_left_lf_of_le SetTheory.PGame.moveLeft_lf_of_le
alias _root_.LE.le.moveLeft_lf := moveLeft_lf_of_le
#align has_le.le.move_left_lf LE.le.moveLeft_lf
theorem lf_moveRight_of_le {x y : PGame} (h : x ≤ y) (j) : x ⧏ y.moveRight j :=
(le_iff_forall_lf.1 h).2 j
#align pgame.lf_move_right_of_le SetTheory.PGame.lf_moveRight_of_le
alias _root_.LE.le.lf_moveRight := lf_moveRight_of_le
#align has_le.le.lf_move_right LE.le.lf_moveRight
theorem lf_of_moveRight_le {x y : PGame} {j} (h : x.moveRight j ≤ y) : x ⧏ y :=
lf_iff_exists_le.2 <| Or.inr ⟨j, h⟩
#align pgame.lf_of_move_right_le SetTheory.PGame.lf_of_moveRight_le
theorem lf_of_le_moveLeft {x y : PGame} {i} (h : x ≤ y.moveLeft i) : x ⧏ y :=
lf_iff_exists_le.2 <| Or.inl ⟨i, h⟩
#align pgame.lf_of_le_move_left SetTheory.PGame.lf_of_le_moveLeft
theorem lf_of_le_mk {xl xr xL xR y} : mk xl xr xL xR ≤ y → ∀ i, xL i ⧏ y :=
moveLeft_lf_of_le
#align pgame.lf_of_le_mk SetTheory.PGame.lf_of_le_mk
theorem lf_of_mk_le {x yl yr yL yR} : x ≤ mk yl yr yL yR → ∀ j, x ⧏ yR j :=
lf_moveRight_of_le
#align pgame.lf_of_mk_le SetTheory.PGame.lf_of_mk_le
theorem mk_lf_of_le {xl xr y j} (xL) {xR : xr → PGame} : xR j ≤ y → mk xl xr xL xR ⧏ y :=
@lf_of_moveRight_le (mk _ _ _ _) y j
#align pgame.mk_lf_of_le SetTheory.PGame.mk_lf_of_le
theorem lf_mk_of_le {x yl yr} {yL : yl → PGame} (yR) {i} : x ≤ yL i → x ⧏ mk yl yr yL yR :=
@lf_of_le_moveLeft x (mk _ _ _ _) i
#align pgame.lf_mk_of_le SetTheory.PGame.lf_mk_of_le
private theorem le_trans_aux {x y z : PGame}
(h₁ : ∀ {i}, y ≤ z → z ≤ x.moveLeft i → y ≤ x.moveLeft i)
(h₂ : ∀ {j}, z.moveRight j ≤ x → x ≤ y → z.moveRight j ≤ y) (hxy : x ≤ y) (hyz : y ≤ z) :
x ≤ z :=
le_of_forall_lf (fun i => PGame.not_le.1 fun h => (h₁ hyz h).not_gf <| hxy.moveLeft_lf i)
fun j => PGame.not_le.1 fun h => (h₂ h hxy).not_gf <| hyz.lf_moveRight j
instance : Preorder PGame :=
{ PGame.le with
le_refl := fun x => by
induction' x with _ _ _ _ IHl IHr
exact
le_of_forall_lf (fun i => lf_of_le_moveLeft (IHl i)) fun i => lf_of_moveRight_le (IHr i)
le_trans := by
suffices
∀ {x y z : PGame},
(x ≤ y → y ≤ z → x ≤ z) ∧ (y ≤ z → z ≤ x → y ≤ x) ∧ (z ≤ x → x ≤ y → z ≤ y) from
fun x y z => this.1
intro x y z
induction' x with xl xr xL xR IHxl IHxr generalizing y z
induction' y with yl yr yL yR IHyl IHyr generalizing z
induction' z with zl zr zL zR IHzl IHzr
exact
⟨le_trans_aux (fun {i} => (IHxl i).2.1) fun {j} => (IHzr j).2.2,
le_trans_aux (fun {i} => (IHyl i).2.2) fun {j} => (IHxr j).1,
le_trans_aux (fun {i} => (IHzl i).1) fun {j} => (IHyr j).2.1⟩
lt := fun x y => x ≤ y ∧ x ⧏ y }
theorem lt_iff_le_and_lf {x y : PGame} : x < y ↔ x ≤ y ∧ x ⧏ y :=
Iff.rfl
#align pgame.lt_iff_le_and_lf SetTheory.PGame.lt_iff_le_and_lf
theorem lt_of_le_of_lf {x y : PGame} (h₁ : x ≤ y) (h₂ : x ⧏ y) : x < y :=
⟨h₁, h₂⟩
#align pgame.lt_of_le_of_lf SetTheory.PGame.lt_of_le_of_lf
theorem lf_of_lt {x y : PGame} (h : x < y) : x ⧏ y :=
h.2
#align pgame.lf_of_lt SetTheory.PGame.lf_of_lt
alias _root_.LT.lt.lf := lf_of_lt
#align has_lt.lt.lf LT.lt.lf
theorem lf_irrefl (x : PGame) : ¬x ⧏ x :=
le_rfl.not_gf
#align pgame.lf_irrefl SetTheory.PGame.lf_irrefl
instance : IsIrrefl _ (· ⧏ ·) :=
⟨lf_irrefl⟩
@[trans]
theorem lf_of_le_of_lf {x y z : PGame} (h₁ : x ≤ y) (h₂ : y ⧏ z) : x ⧏ z := by
rw [← PGame.not_le] at h₂ ⊢
exact fun h₃ => h₂ (h₃.trans h₁)
#align pgame.lf_of_le_of_lf SetTheory.PGame.lf_of_le_of_lf
-- Porting note (#10754): added instance
instance : Trans (· ≤ ·) (· ⧏ ·) (· ⧏ ·) := ⟨lf_of_le_of_lf⟩
@[trans]
theorem lf_of_lf_of_le {x y z : PGame} (h₁ : x ⧏ y) (h₂ : y ≤ z) : x ⧏ z := by
rw [← PGame.not_le] at h₁ ⊢
exact fun h₃ => h₁ (h₂.trans h₃)
#align pgame.lf_of_lf_of_le SetTheory.PGame.lf_of_lf_of_le
-- Porting note (#10754): added instance
instance : Trans (· ⧏ ·) (· ≤ ·) (· ⧏ ·) := ⟨lf_of_lf_of_le⟩
alias _root_.LE.le.trans_lf := lf_of_le_of_lf
#align has_le.le.trans_lf LE.le.trans_lf
alias LF.trans_le := lf_of_lf_of_le
#align pgame.lf.trans_le SetTheory.PGame.LF.trans_le
@[trans]
theorem lf_of_lt_of_lf {x y z : PGame} (h₁ : x < y) (h₂ : y ⧏ z) : x ⧏ z :=
h₁.le.trans_lf h₂
#align pgame.lf_of_lt_of_lf SetTheory.PGame.lf_of_lt_of_lf
@[trans]
theorem lf_of_lf_of_lt {x y z : PGame} (h₁ : x ⧏ y) (h₂ : y < z) : x ⧏ z :=
h₁.trans_le h₂.le
#align pgame.lf_of_lf_of_lt SetTheory.PGame.lf_of_lf_of_lt
alias _root_.LT.lt.trans_lf := lf_of_lt_of_lf
#align has_lt.lt.trans_lf LT.lt.trans_lf
alias LF.trans_lt := lf_of_lf_of_lt
#align pgame.lf.trans_lt SetTheory.PGame.LF.trans_lt
theorem moveLeft_lf {x : PGame} : ∀ i, x.moveLeft i ⧏ x :=
le_rfl.moveLeft_lf
#align pgame.move_left_lf SetTheory.PGame.moveLeft_lf
theorem lf_moveRight {x : PGame} : ∀ j, x ⧏ x.moveRight j :=
le_rfl.lf_moveRight
#align pgame.lf_move_right SetTheory.PGame.lf_moveRight
theorem lf_mk {xl xr} (xL : xl → PGame) (xR : xr → PGame) (i) : xL i ⧏ mk xl xr xL xR :=
@moveLeft_lf (mk _ _ _ _) i
#align pgame.lf_mk SetTheory.PGame.lf_mk
theorem mk_lf {xl xr} (xL : xl → PGame) (xR : xr → PGame) (j) : mk xl xr xL xR ⧏ xR j :=
@lf_moveRight (mk _ _ _ _) j
#align pgame.mk_lf SetTheory.PGame.mk_lf
theorem le_of_forall_lt {x y : PGame} (h₁ : ∀ i, x.moveLeft i < y) (h₂ : ∀ j, x < y.moveRight j) :
x ≤ y :=
le_of_forall_lf (fun i => (h₁ i).lf) fun i => (h₂ i).lf
#align pgame.le_of_forall_lt SetTheory.PGame.le_of_forall_lt
theorem le_def {x y : PGame} :
x ≤ y ↔
(∀ i, (∃ i', x.moveLeft i ≤ y.moveLeft i') ∨ ∃ j, (x.moveLeft i).moveRight j ≤ y) ∧
∀ j, (∃ i, x ≤ (y.moveRight j).moveLeft i) ∨ ∃ j', x.moveRight j' ≤ y.moveRight j := by
rw [le_iff_forall_lf]
conv =>
lhs
simp only [lf_iff_exists_le]
#align pgame.le_def SetTheory.PGame.le_def
theorem lf_def {x y : PGame} :
x ⧏ y ↔
(∃ i, (∀ i', x.moveLeft i' ⧏ y.moveLeft i) ∧ ∀ j, x ⧏ (y.moveLeft i).moveRight j) ∨
∃ j, (∀ i, (x.moveRight j).moveLeft i ⧏ y) ∧ ∀ j', x.moveRight j ⧏ y.moveRight j' := by
rw [lf_iff_exists_le]
conv =>
lhs
simp only [le_iff_forall_lf]
#align pgame.lf_def SetTheory.PGame.lf_def
theorem zero_le_lf {x : PGame} : 0 ≤ x ↔ ∀ j, 0 ⧏ x.moveRight j := by
rw [le_iff_forall_lf]
simp
#align pgame.zero_le_lf SetTheory.PGame.zero_le_lf
theorem le_zero_lf {x : PGame} : x ≤ 0 ↔ ∀ i, x.moveLeft i ⧏ 0 := by
rw [le_iff_forall_lf]
simp
#align pgame.le_zero_lf SetTheory.PGame.le_zero_lf
theorem zero_lf_le {x : PGame} : 0 ⧏ x ↔ ∃ i, 0 ≤ x.moveLeft i := by
rw [lf_iff_exists_le]
simp
#align pgame.zero_lf_le SetTheory.PGame.zero_lf_le
theorem lf_zero_le {x : PGame} : x ⧏ 0 ↔ ∃ j, x.moveRight j ≤ 0 := by
rw [lf_iff_exists_le]
simp
#align pgame.lf_zero_le SetTheory.PGame.lf_zero_le
theorem zero_le {x : PGame} : 0 ≤ x ↔ ∀ j, ∃ i, 0 ≤ (x.moveRight j).moveLeft i := by
rw [le_def]
simp
#align pgame.zero_le SetTheory.PGame.zero_le
theorem le_zero {x : PGame} : x ≤ 0 ↔ ∀ i, ∃ j, (x.moveLeft i).moveRight j ≤ 0 := by
rw [le_def]
simp
#align pgame.le_zero SetTheory.PGame.le_zero
theorem zero_lf {x : PGame} : 0 ⧏ x ↔ ∃ i, ∀ j, 0 ⧏ (x.moveLeft i).moveRight j := by
rw [lf_def]
simp
#align pgame.zero_lf SetTheory.PGame.zero_lf
theorem lf_zero {x : PGame} : x ⧏ 0 ↔ ∃ j, ∀ i, (x.moveRight j).moveLeft i ⧏ 0 := by
rw [lf_def]
simp
#align pgame.lf_zero SetTheory.PGame.lf_zero
@[simp]
theorem zero_le_of_isEmpty_rightMoves (x : PGame) [IsEmpty x.RightMoves] : 0 ≤ x :=
zero_le.2 isEmptyElim
#align pgame.zero_le_of_is_empty_right_moves SetTheory.PGame.zero_le_of_isEmpty_rightMoves
@[simp]
theorem le_zero_of_isEmpty_leftMoves (x : PGame) [IsEmpty x.LeftMoves] : x ≤ 0 :=
le_zero.2 isEmptyElim
#align pgame.le_zero_of_is_empty_left_moves SetTheory.PGame.le_zero_of_isEmpty_leftMoves
noncomputable def rightResponse {x : PGame} (h : x ≤ 0) (i : x.LeftMoves) :
(x.moveLeft i).RightMoves :=
Classical.choose <| (le_zero.1 h) i
#align pgame.right_response SetTheory.PGame.rightResponse
theorem rightResponse_spec {x : PGame} (h : x ≤ 0) (i : x.LeftMoves) :
(x.moveLeft i).moveRight (rightResponse h i) ≤ 0 :=
Classical.choose_spec <| (le_zero.1 h) i
#align pgame.right_response_spec SetTheory.PGame.rightResponse_spec
noncomputable def leftResponse {x : PGame} (h : 0 ≤ x) (j : x.RightMoves) :
(x.moveRight j).LeftMoves :=
Classical.choose <| (zero_le.1 h) j
#align pgame.left_response SetTheory.PGame.leftResponse
theorem leftResponse_spec {x : PGame} (h : 0 ≤ x) (j : x.RightMoves) :
0 ≤ (x.moveRight j).moveLeft (leftResponse h j) :=
Classical.choose_spec <| (zero_le.1 h) j
#align pgame.left_response_spec SetTheory.PGame.leftResponse_spec
#noalign pgame.upper_bound
#noalign pgame.upper_bound_right_moves_empty
#noalign pgame.le_upper_bound
#noalign pgame.upper_bound_mem_upper_bounds
lemma bddAbove_range_of_small [Small.{u} ι] (f : ι → PGame.{u}) : BddAbove (Set.range f) := by
let x : PGame.{u} := ⟨Σ i, (f $ (equivShrink.{u} ι).symm i).LeftMoves, PEmpty,
fun x ↦ moveLeft _ x.2, PEmpty.elim⟩
refine ⟨x, Set.forall_mem_range.2 fun i ↦ ?_⟩
rw [← (equivShrink ι).symm_apply_apply i, le_iff_forall_lf]
simpa [x] using fun j ↦ @moveLeft_lf x ⟨equivShrink ι i, j⟩
lemma bddAbove_of_small (s : Set PGame.{u}) [Small.{u} s] : BddAbove s := by
simpa using bddAbove_range_of_small (Subtype.val : s → PGame.{u})
#align pgame.bdd_above_of_small SetTheory.PGame.bddAbove_of_small
#noalign pgame.lower_bound
#noalign pgame.lower_bound_left_moves_empty
#noalign pgame.lower_bound_le
#noalign pgame.lower_bound_mem_lower_bounds
lemma bddBelow_range_of_small [Small.{u} ι] (f : ι → PGame.{u}) : BddBelow (Set.range f) := by
let x : PGame.{u} := ⟨PEmpty, Σ i, (f $ (equivShrink.{u} ι).symm i).RightMoves, PEmpty.elim,
fun x ↦ moveRight _ x.2⟩
refine ⟨x, Set.forall_mem_range.2 fun i ↦ ?_⟩
rw [← (equivShrink ι).symm_apply_apply i, le_iff_forall_lf]
simpa [x] using fun j ↦ @lf_moveRight x ⟨equivShrink ι i, j⟩
lemma bddBelow_of_small (s : Set PGame.{u}) [Small.{u} s] : BddBelow s := by
simpa using bddBelow_range_of_small (Subtype.val : s → PGame.{u})
#align pgame.bdd_below_of_small SetTheory.PGame.bddBelow_of_small
def Equiv (x y : PGame) : Prop :=
x ≤ y ∧ y ≤ x
#align pgame.equiv SetTheory.PGame.Equiv
-- Porting note: deleted the scoped notation due to notation overloading with the setoid
-- instance and this causes the PGame.equiv docstring to not show up on hover.
instance : IsEquiv _ PGame.Equiv where
refl _ := ⟨le_rfl, le_rfl⟩
trans := fun _ _ _ ⟨xy, yx⟩ ⟨yz, zy⟩ => ⟨xy.trans yz, zy.trans yx⟩
symm _ _ := And.symm
-- Porting note: moved the setoid instance from Basic.lean to here
instance setoid : Setoid PGame :=
⟨Equiv, refl, symm, Trans.trans⟩
#align pgame.setoid SetTheory.PGame.setoid
theorem Equiv.le {x y : PGame} (h : x ≈ y) : x ≤ y :=
h.1
#align pgame.equiv.le SetTheory.PGame.Equiv.le
theorem Equiv.ge {x y : PGame} (h : x ≈ y) : y ≤ x :=
h.2
#align pgame.equiv.ge SetTheory.PGame.Equiv.ge
@[refl, simp]
theorem equiv_rfl {x : PGame} : x ≈ x :=
refl x
#align pgame.equiv_rfl SetTheory.PGame.equiv_rfl
theorem equiv_refl (x : PGame) : x ≈ x :=
refl x
#align pgame.equiv_refl SetTheory.PGame.equiv_refl
@[symm]
protected theorem Equiv.symm {x y : PGame} : (x ≈ y) → (y ≈ x) :=
symm
#align pgame.equiv.symm SetTheory.PGame.Equiv.symm
@[trans]
protected theorem Equiv.trans {x y z : PGame} : (x ≈ y) → (y ≈ z) → (x ≈ z) :=
_root_.trans
#align pgame.equiv.trans SetTheory.PGame.Equiv.trans
protected theorem equiv_comm {x y : PGame} : (x ≈ y) ↔ (y ≈ x) :=
comm
#align pgame.equiv_comm SetTheory.PGame.equiv_comm
theorem equiv_of_eq {x y : PGame} (h : x = y) : x ≈ y := by subst h; rfl
#align pgame.equiv_of_eq SetTheory.PGame.equiv_of_eq
@[trans]
theorem le_of_le_of_equiv {x y z : PGame} (h₁ : x ≤ y) (h₂ : y ≈ z) : x ≤ z :=
h₁.trans h₂.1
#align pgame.le_of_le_of_equiv SetTheory.PGame.le_of_le_of_equiv
instance : Trans
((· ≤ ·) : PGame → PGame → Prop)
((· ≈ ·) : PGame → PGame → Prop)
((· ≤ ·) : PGame → PGame → Prop) where
trans := le_of_le_of_equiv
@[trans]
theorem le_of_equiv_of_le {x y z : PGame} (h₁ : x ≈ y) : y ≤ z → x ≤ z :=
h₁.1.trans
#align pgame.le_of_equiv_of_le SetTheory.PGame.le_of_equiv_of_le
instance : Trans
((· ≈ ·) : PGame → PGame → Prop)
((· ≤ ·) : PGame → PGame → Prop)
((· ≤ ·) : PGame → PGame → Prop) where
trans := le_of_equiv_of_le
theorem LF.not_equiv {x y : PGame} (h : x ⧏ y) : ¬(x ≈ y) := fun h' => h.not_ge h'.2
#align pgame.lf.not_equiv SetTheory.PGame.LF.not_equiv
theorem LF.not_equiv' {x y : PGame} (h : x ⧏ y) : ¬(y ≈ x) := fun h' => h.not_ge h'.1
#align pgame.lf.not_equiv' SetTheory.PGame.LF.not_equiv'
theorem LF.not_gt {x y : PGame} (h : x ⧏ y) : ¬y < x := fun h' => h.not_ge h'.le
#align pgame.lf.not_gt SetTheory.PGame.LF.not_gt
theorem le_congr_imp {x₁ y₁ x₂ y₂ : PGame} (hx : x₁ ≈ x₂) (hy : y₁ ≈ y₂) (h : x₁ ≤ y₁) : x₂ ≤ y₂ :=
hx.2.trans (h.trans hy.1)
#align pgame.le_congr_imp SetTheory.PGame.le_congr_imp
theorem le_congr {x₁ y₁ x₂ y₂ : PGame} (hx : x₁ ≈ x₂) (hy : y₁ ≈ y₂) : x₁ ≤ y₁ ↔ x₂ ≤ y₂ :=
⟨le_congr_imp hx hy, le_congr_imp (Equiv.symm hx) (Equiv.symm hy)⟩
#align pgame.le_congr SetTheory.PGame.le_congr
theorem le_congr_left {x₁ x₂ y : PGame} (hx : x₁ ≈ x₂) : x₁ ≤ y ↔ x₂ ≤ y :=
le_congr hx equiv_rfl
#align pgame.le_congr_left SetTheory.PGame.le_congr_left
theorem le_congr_right {x y₁ y₂ : PGame} (hy : y₁ ≈ y₂) : x ≤ y₁ ↔ x ≤ y₂ :=
le_congr equiv_rfl hy
#align pgame.le_congr_right SetTheory.PGame.le_congr_right
theorem lf_congr {x₁ y₁ x₂ y₂ : PGame} (hx : x₁ ≈ x₂) (hy : y₁ ≈ y₂) : x₁ ⧏ y₁ ↔ x₂ ⧏ y₂ :=
PGame.not_le.symm.trans <| (not_congr (le_congr hy hx)).trans PGame.not_le
#align pgame.lf_congr SetTheory.PGame.lf_congr
theorem lf_congr_imp {x₁ y₁ x₂ y₂ : PGame} (hx : x₁ ≈ x₂) (hy : y₁ ≈ y₂) : x₁ ⧏ y₁ → x₂ ⧏ y₂ :=
(lf_congr hx hy).1
#align pgame.lf_congr_imp SetTheory.PGame.lf_congr_imp
theorem lf_congr_left {x₁ x₂ y : PGame} (hx : x₁ ≈ x₂) : x₁ ⧏ y ↔ x₂ ⧏ y :=
lf_congr hx equiv_rfl
#align pgame.lf_congr_left SetTheory.PGame.lf_congr_left
theorem lf_congr_right {x y₁ y₂ : PGame} (hy : y₁ ≈ y₂) : x ⧏ y₁ ↔ x ⧏ y₂ :=
lf_congr equiv_rfl hy
#align pgame.lf_congr_right SetTheory.PGame.lf_congr_right
@[trans]
theorem lf_of_lf_of_equiv {x y z : PGame} (h₁ : x ⧏ y) (h₂ : y ≈ z) : x ⧏ z :=
lf_congr_imp equiv_rfl h₂ h₁
#align pgame.lf_of_lf_of_equiv SetTheory.PGame.lf_of_lf_of_equiv
@[trans]
theorem lf_of_equiv_of_lf {x y z : PGame} (h₁ : x ≈ y) : y ⧏ z → x ⧏ z :=
lf_congr_imp (Equiv.symm h₁) equiv_rfl
#align pgame.lf_of_equiv_of_lf SetTheory.PGame.lf_of_equiv_of_lf
@[trans]
theorem lt_of_lt_of_equiv {x y z : PGame} (h₁ : x < y) (h₂ : y ≈ z) : x < z :=
h₁.trans_le h₂.1
#align pgame.lt_of_lt_of_equiv SetTheory.PGame.lt_of_lt_of_equiv
@[trans]
theorem lt_of_equiv_of_lt {x y z : PGame} (h₁ : x ≈ y) : y < z → x < z :=
h₁.1.trans_lt
#align pgame.lt_of_equiv_of_lt SetTheory.PGame.lt_of_equiv_of_lt
instance : Trans
((· ≈ ·) : PGame → PGame → Prop)
((· < ·) : PGame → PGame → Prop)
((· < ·) : PGame → PGame → Prop) where
trans := lt_of_equiv_of_lt
theorem lt_congr_imp {x₁ y₁ x₂ y₂ : PGame} (hx : x₁ ≈ x₂) (hy : y₁ ≈ y₂) (h : x₁ < y₁) : x₂ < y₂ :=
hx.2.trans_lt (h.trans_le hy.1)
#align pgame.lt_congr_imp SetTheory.PGame.lt_congr_imp
theorem lt_congr {x₁ y₁ x₂ y₂ : PGame} (hx : x₁ ≈ x₂) (hy : y₁ ≈ y₂) : x₁ < y₁ ↔ x₂ < y₂ :=
⟨lt_congr_imp hx hy, lt_congr_imp (Equiv.symm hx) (Equiv.symm hy)⟩
#align pgame.lt_congr SetTheory.PGame.lt_congr
theorem lt_congr_left {x₁ x₂ y : PGame} (hx : x₁ ≈ x₂) : x₁ < y ↔ x₂ < y :=
lt_congr hx equiv_rfl
#align pgame.lt_congr_left SetTheory.PGame.lt_congr_left
theorem lt_congr_right {x y₁ y₂ : PGame} (hy : y₁ ≈ y₂) : x < y₁ ↔ x < y₂ :=
lt_congr equiv_rfl hy
#align pgame.lt_congr_right SetTheory.PGame.lt_congr_right
theorem lt_or_equiv_of_le {x y : PGame} (h : x ≤ y) : x < y ∨ (x ≈ y) :=
and_or_left.mp ⟨h, (em <| y ≤ x).symm.imp_left PGame.not_le.1⟩
#align pgame.lt_or_equiv_of_le SetTheory.PGame.lt_or_equiv_of_le
theorem lf_or_equiv_or_gf (x y : PGame) : x ⧏ y ∨ (x ≈ y) ∨ y ⧏ x := by
by_cases h : x ⧏ y
· exact Or.inl h
· right
cases' lt_or_equiv_of_le (PGame.not_lf.1 h) with h' h'
· exact Or.inr h'.lf
· exact Or.inl (Equiv.symm h')
#align pgame.lf_or_equiv_or_gf SetTheory.PGame.lf_or_equiv_or_gf
theorem equiv_congr_left {y₁ y₂ : PGame} : (y₁ ≈ y₂) ↔ ∀ x₁, (x₁ ≈ y₁) ↔ (x₁ ≈ y₂) :=
⟨fun h _ => ⟨fun h' => Equiv.trans h' h, fun h' => Equiv.trans h' (Equiv.symm h)⟩,
fun h => (h y₁).1 <| equiv_rfl⟩
#align pgame.equiv_congr_left SetTheory.PGame.equiv_congr_left
theorem equiv_congr_right {x₁ x₂ : PGame} : (x₁ ≈ x₂) ↔ ∀ y₁, (x₁ ≈ y₁) ↔ (x₂ ≈ y₁) :=
⟨fun h _ => ⟨fun h' => Equiv.trans (Equiv.symm h) h', fun h' => Equiv.trans h h'⟩,
fun h => (h x₂).2 <| equiv_rfl⟩
#align pgame.equiv_congr_right SetTheory.PGame.equiv_congr_right
| Mathlib/SetTheory/Game/PGame.lean | 952 | 957 | theorem equiv_of_mk_equiv {x y : PGame} (L : x.LeftMoves ≃ y.LeftMoves)
(R : x.RightMoves ≃ y.RightMoves) (hl : ∀ i, x.moveLeft i ≈ y.moveLeft (L i))
(hr : ∀ j, x.moveRight j ≈ y.moveRight (R j)) : x ≈ y := by |
constructor <;> rw [le_def]
· exact ⟨fun i => Or.inl ⟨_, (hl i).1⟩, fun j => Or.inr ⟨_, by simpa using (hr (R.symm j)).1⟩⟩
· exact ⟨fun i => Or.inl ⟨_, by simpa using (hl (L.symm i)).2⟩, fun j => Or.inr ⟨_, (hr j).2⟩⟩
|
import Mathlib.MeasureTheory.Measure.ProbabilityMeasure
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.MeasureTheory.Integral.Layercake
import Mathlib.MeasureTheory.Integral.BoundedContinuousFunction
#align_import measure_theory.measure.portmanteau from "leanprover-community/mathlib"@"fd5edc43dc4f10b85abfe544b88f82cf13c5f844"
noncomputable section
open MeasureTheory Set Filter BoundedContinuousFunction
open scoped Topology ENNReal NNReal BoundedContinuousFunction
namespace MeasureTheory
section LimsupClosedLEAndLELiminfOpen
variable {Ω : Type*} [MeasurableSpace Ω]
theorem le_measure_compl_liminf_of_limsup_measure_le {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : (L.limsup fun i => μs i E) ≤ μ E) :
μ Eᶜ ≤ L.liminf fun i => μs i Eᶜ := by
rcases L.eq_or_neBot with rfl | hne
· simp only [liminf_bot, le_top]
have meas_Ec : μ Eᶜ = 1 - μ E := by
simpa only [measure_univ] using measure_compl E_mble (measure_lt_top μ E).ne
have meas_i_Ec : ∀ i, μs i Eᶜ = 1 - μs i E := by
intro i
simpa only [measure_univ] using measure_compl E_mble (measure_lt_top (μs i) E).ne
simp_rw [meas_Ec, meas_i_Ec]
have obs :
(L.liminf fun i : ι => 1 - μs i E) = L.liminf ((fun x => 1 - x) ∘ fun i : ι => μs i E) := rfl
rw [obs]
have := antitone_const_tsub.map_limsup_of_continuousAt (F := L)
(fun i => μs i E) (ENNReal.continuous_sub_left ENNReal.one_ne_top).continuousAt
simp_rw [← this]
exact antitone_const_tsub h
#align measure_theory.le_measure_compl_liminf_of_limsup_measure_le MeasureTheory.le_measure_compl_liminf_of_limsup_measure_le
theorem le_measure_liminf_of_limsup_measure_compl_le {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : (L.limsup fun i => μs i Eᶜ) ≤ μ Eᶜ) :
μ E ≤ L.liminf fun i => μs i E :=
compl_compl E ▸ le_measure_compl_liminf_of_limsup_measure_le (MeasurableSet.compl E_mble) h
#align measure_theory.le_measure_liminf_of_limsup_measure_compl_le MeasureTheory.le_measure_liminf_of_limsup_measure_compl_le
theorem limsup_measure_compl_le_of_le_liminf_measure {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : μ E ≤ L.liminf fun i => μs i E) :
(L.limsup fun i => μs i Eᶜ) ≤ μ Eᶜ := by
rcases L.eq_or_neBot with rfl | hne
· simp only [limsup_bot, bot_le]
have meas_Ec : μ Eᶜ = 1 - μ E := by
simpa only [measure_univ] using measure_compl E_mble (measure_lt_top μ E).ne
have meas_i_Ec : ∀ i, μs i Eᶜ = 1 - μs i E := by
intro i
simpa only [measure_univ] using measure_compl E_mble (measure_lt_top (μs i) E).ne
simp_rw [meas_Ec, meas_i_Ec]
have obs :
(L.limsup fun i : ι => 1 - μs i E) = L.limsup ((fun x => 1 - x) ∘ fun i : ι => μs i E) := rfl
rw [obs]
have := antitone_const_tsub.map_liminf_of_continuousAt (F := L)
(fun i => μs i E) (ENNReal.continuous_sub_left ENNReal.one_ne_top).continuousAt
simp_rw [← this]
exact antitone_const_tsub h
#align measure_theory.limsup_measure_compl_le_of_le_liminf_measure MeasureTheory.limsup_measure_compl_le_of_le_liminf_measure
theorem limsup_measure_le_of_le_liminf_measure_compl {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)] {E : Set Ω}
(E_mble : MeasurableSet E) (h : μ Eᶜ ≤ L.liminf fun i => μs i Eᶜ) :
(L.limsup fun i => μs i E) ≤ μ E :=
compl_compl E ▸ limsup_measure_compl_le_of_le_liminf_measure (MeasurableSet.compl E_mble) h
#align measure_theory.limsup_measure_le_of_le_liminf_measure_compl MeasureTheory.limsup_measure_le_of_le_liminf_measure_compl
variable [TopologicalSpace Ω] [OpensMeasurableSpace Ω]
theorem limsup_measure_closed_le_iff_liminf_measure_open_ge {ι : Type*} {L : Filter ι}
{μ : Measure Ω} {μs : ι → Measure Ω} [IsProbabilityMeasure μ]
[∀ i, IsProbabilityMeasure (μs i)] :
(∀ F, IsClosed F → (L.limsup fun i => μs i F) ≤ μ F) ↔
∀ G, IsOpen G → μ G ≤ L.liminf fun i => μs i G := by
constructor
· intro h G G_open
exact le_measure_liminf_of_limsup_measure_compl_le
G_open.measurableSet (h Gᶜ (isClosed_compl_iff.mpr G_open))
· intro h F F_closed
exact limsup_measure_le_of_le_liminf_measure_compl
F_closed.measurableSet (h Fᶜ (isOpen_compl_iff.mpr F_closed))
#align measure_theory.limsup_measure_closed_le_iff_liminf_measure_open_ge MeasureTheory.limsup_measure_closed_le_iff_liminf_measure_open_ge
end LimsupClosedLEAndLELiminfOpen -- section
section TendstoOfNullFrontier
variable {Ω : Type*} [MeasurableSpace Ω]
theorem tendsto_measure_of_le_liminf_measure_of_limsup_measure_le {ι : Type*} {L : Filter ι}
{μ : Measure Ω} {μs : ι → Measure Ω} {E₀ E E₁ : Set Ω} (E₀_subset : E₀ ⊆ E) (subset_E₁ : E ⊆ E₁)
(nulldiff : μ (E₁ \ E₀) = 0) (h_E₀ : μ E₀ ≤ L.liminf fun i => μs i E₀)
(h_E₁ : (L.limsup fun i => μs i E₁) ≤ μ E₁) : L.Tendsto (fun i => μs i E) (𝓝 (μ E)) := by
apply tendsto_of_le_liminf_of_limsup_le
· have E₀_ae_eq_E : E₀ =ᵐ[μ] E :=
EventuallyLE.antisymm E₀_subset.eventuallyLE
(subset_E₁.eventuallyLE.trans (ae_le_set.mpr nulldiff))
calc
μ E = μ E₀ := measure_congr E₀_ae_eq_E.symm
_ ≤ L.liminf fun i => μs i E₀ := h_E₀
_ ≤ L.liminf fun i => μs i E :=
liminf_le_liminf (eventually_of_forall fun _ => measure_mono E₀_subset)
· have E_ae_eq_E₁ : E =ᵐ[μ] E₁ :=
EventuallyLE.antisymm subset_E₁.eventuallyLE
((ae_le_set.mpr nulldiff).trans E₀_subset.eventuallyLE)
calc
(L.limsup fun i => μs i E) ≤ L.limsup fun i => μs i E₁ :=
limsup_le_limsup (eventually_of_forall fun _ => measure_mono subset_E₁)
_ ≤ μ E₁ := h_E₁
_ = μ E := measure_congr E_ae_eq_E₁.symm
· infer_param
· infer_param
#align measure_theory.tendsto_measure_of_le_liminf_measure_of_limsup_measure_le MeasureTheory.tendsto_measure_of_le_liminf_measure_of_limsup_measure_le
variable [TopologicalSpace Ω] [OpensMeasurableSpace Ω]
theorem tendsto_measure_of_null_frontier {ι : Type*} {L : Filter ι} {μ : Measure Ω}
{μs : ι → Measure Ω} [IsProbabilityMeasure μ] [∀ i, IsProbabilityMeasure (μs i)]
(h_opens : ∀ G, IsOpen G → μ G ≤ L.liminf fun i => μs i G) {E : Set Ω}
(E_nullbdry : μ (frontier E) = 0) : L.Tendsto (fun i => μs i E) (𝓝 (μ E)) :=
haveI h_closeds : ∀ F, IsClosed F → (L.limsup fun i => μs i F) ≤ μ F :=
limsup_measure_closed_le_iff_liminf_measure_open_ge.mpr h_opens
tendsto_measure_of_le_liminf_measure_of_limsup_measure_le interior_subset subset_closure
E_nullbdry (h_opens _ isOpen_interior) (h_closeds _ isClosed_closure)
#align measure_theory.tendsto_measure_of_null_frontier MeasureTheory.tendsto_measure_of_null_frontier
end TendstoOfNullFrontier --section
section ConvergenceImpliesLimsupClosedLE
theorem FiniteMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω] [TopologicalSpace Ω] [HasOuterApproxClosed Ω]
[OpensMeasurableSpace Ω] {μ : FiniteMeasure Ω}
{μs : ι → FiniteMeasure Ω} (μs_lim : Tendsto μs L (𝓝 μ)) {F : Set Ω} (F_closed : IsClosed F) :
(L.limsup fun i => (μs i : Measure Ω) F) ≤ (μ : Measure Ω) F := by
rcases L.eq_or_neBot with rfl | hne
· simp only [limsup_bot, bot_le]
apply ENNReal.le_of_forall_pos_le_add
intro ε ε_pos _
let fs := F_closed.apprSeq
have key₁ : Tendsto (fun n ↦ ∫⁻ ω, (fs n ω : ℝ≥0∞) ∂μ) atTop (𝓝 ((μ : Measure Ω) F)) :=
HasOuterApproxClosed.tendsto_lintegral_apprSeq F_closed (μ : Measure Ω)
have room₁ : (μ : Measure Ω) F < (μ : Measure Ω) F + ε / 2 := by
apply
ENNReal.lt_add_right (measure_lt_top (μ : Measure Ω) F).ne
(ENNReal.div_pos_iff.mpr ⟨(ENNReal.coe_pos.mpr ε_pos).ne.symm, ENNReal.two_ne_top⟩).ne.symm
rcases eventually_atTop.mp (eventually_lt_of_tendsto_lt room₁ key₁) with ⟨M, hM⟩
have key₂ := FiniteMeasure.tendsto_iff_forall_lintegral_tendsto.mp μs_lim (fs M)
have room₂ :
(lintegral (μ : Measure Ω) fun a => fs M a) <
(lintegral (μ : Measure Ω) fun a => fs M a) + ε / 2 := by
apply ENNReal.lt_add_right (ne_of_lt ?_)
(ENNReal.div_pos_iff.mpr ⟨(ENNReal.coe_pos.mpr ε_pos).ne.symm, ENNReal.two_ne_top⟩).ne.symm
apply BoundedContinuousFunction.lintegral_lt_top_of_nnreal
have ev_near := Eventually.mono (eventually_lt_of_tendsto_lt room₂ key₂) fun n => le_of_lt
have ev_near' := Eventually.mono ev_near
(fun n ↦ le_trans (HasOuterApproxClosed.measure_le_lintegral F_closed (μs n) M))
apply (Filter.limsup_le_limsup ev_near').trans
rw [limsup_const]
apply le_trans (add_le_add (hM M rfl.le).le (le_refl (ε / 2 : ℝ≥0∞)))
simp only [add_assoc, ENNReal.add_halves, le_refl]
#align measure_theory.finite_measure.limsup_measure_closed_le_of_tendsto MeasureTheory.FiniteMeasure.limsup_measure_closed_le_of_tendsto
theorem ProbabilityMeasure.limsup_measure_closed_le_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω] [TopologicalSpace Ω] [OpensMeasurableSpace Ω] [HasOuterApproxClosed Ω]
{μ : ProbabilityMeasure Ω} {μs : ι → ProbabilityMeasure Ω} (μs_lim : Tendsto μs L (𝓝 μ))
{F : Set Ω} (F_closed : IsClosed F) :
(L.limsup fun i => (μs i : Measure Ω) F) ≤ (μ : Measure Ω) F := by
apply FiniteMeasure.limsup_measure_closed_le_of_tendsto
((ProbabilityMeasure.tendsto_nhds_iff_toFiniteMeasure_tendsto_nhds L).mp μs_lim) F_closed
#align measure_theory.probability_measure.limsup_measure_closed_le_of_tendsto MeasureTheory.ProbabilityMeasure.limsup_measure_closed_le_of_tendsto
theorem ProbabilityMeasure.le_liminf_measure_open_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω] [PseudoEMetricSpace Ω] [OpensMeasurableSpace Ω] [HasOuterApproxClosed Ω]
{μ : ProbabilityMeasure Ω} {μs : ι → ProbabilityMeasure Ω} (μs_lim : Tendsto μs L (𝓝 μ))
{G : Set Ω} (G_open : IsOpen G) :
(μ : Measure Ω) G ≤ L.liminf fun i => (μs i : Measure Ω) G :=
haveI h_closeds : ∀ F, IsClosed F → (L.limsup fun i ↦ (μs i : Measure Ω) F) ≤ (μ : Measure Ω) F :=
fun _ F_closed => ProbabilityMeasure.limsup_measure_closed_le_of_tendsto μs_lim F_closed
le_measure_liminf_of_limsup_measure_compl_le G_open.measurableSet
(h_closeds _ (isClosed_compl_iff.mpr G_open))
#align measure_theory.probability_measure.le_liminf_measure_open_of_tendsto MeasureTheory.ProbabilityMeasure.le_liminf_measure_open_of_tendsto
theorem ProbabilityMeasure.tendsto_measure_of_null_frontier_of_tendsto' {Ω ι : Type*}
{L : Filter ι} [MeasurableSpace Ω] [PseudoEMetricSpace Ω] [OpensMeasurableSpace Ω]
[HasOuterApproxClosed Ω] {μ : ProbabilityMeasure Ω} {μs : ι → ProbabilityMeasure Ω}
(μs_lim : Tendsto μs L (𝓝 μ)) {E : Set Ω} (E_nullbdry : (μ : Measure Ω) (frontier E) = 0) :
Tendsto (fun i => (μs i : Measure Ω) E) L (𝓝 ((μ : Measure Ω) E)) :=
haveI h_opens : ∀ G, IsOpen G → (μ : Measure Ω) G ≤ L.liminf fun i => (μs i : Measure Ω) G :=
fun _ G_open => ProbabilityMeasure.le_liminf_measure_open_of_tendsto μs_lim G_open
tendsto_measure_of_null_frontier h_opens E_nullbdry
#align measure_theory.probability_measure.tendsto_measure_of_null_frontier_of_tendsto' MeasureTheory.ProbabilityMeasure.tendsto_measure_of_null_frontier_of_tendsto'
| Mathlib/MeasureTheory/Measure/Portmanteau.lean | 360 | 367 | theorem ProbabilityMeasure.tendsto_measure_of_null_frontier_of_tendsto {Ω ι : Type*} {L : Filter ι}
[MeasurableSpace Ω] [PseudoEMetricSpace Ω] [OpensMeasurableSpace Ω] [HasOuterApproxClosed Ω]
{μ : ProbabilityMeasure Ω} {μs : ι → ProbabilityMeasure Ω} (μs_lim : Tendsto μs L (𝓝 μ))
{E : Set Ω} (E_nullbdry : μ (frontier E) = 0) : Tendsto (fun i => μs i E) L (𝓝 (μ E)) := by |
have E_nullbdry' : (μ : Measure Ω) (frontier E) = 0 := by
rw [← ProbabilityMeasure.ennreal_coeFn_eq_coeFn_toMeasure, E_nullbdry, ENNReal.coe_zero]
have key := ProbabilityMeasure.tendsto_measure_of_null_frontier_of_tendsto' μs_lim E_nullbdry'
exact (ENNReal.tendsto_toNNReal (measure_ne_top (↑μ) E)).comp key
|
import Mathlib.Topology.MetricSpace.HausdorffDistance
#align_import topology.metric_space.pi_nat from "leanprover-community/mathlib"@"49b7f94aab3a3bdca1f9f34c5d818afb253b3993"
noncomputable section
open scoped Classical
open Topology Filter
open TopologicalSpace Set Metric Filter Function
attribute [local simp] pow_le_pow_iff_right one_lt_two inv_le_inv zero_le_two zero_lt_two
variable {E : ℕ → Type*}
namespace PiNat
irreducible_def firstDiff (x y : ∀ n, E n) : ℕ :=
if h : x ≠ y then Nat.find (ne_iff.1 h) else 0
#align pi_nat.first_diff PiNat.firstDiff
theorem apply_firstDiff_ne {x y : ∀ n, E n} (h : x ≠ y) :
x (firstDiff x y) ≠ y (firstDiff x y) := by
rw [firstDiff_def, dif_pos h]
exact Nat.find_spec (ne_iff.1 h)
#align pi_nat.apply_first_diff_ne PiNat.apply_firstDiff_ne
theorem apply_eq_of_lt_firstDiff {x y : ∀ n, E n} {n : ℕ} (hn : n < firstDiff x y) : x n = y n := by
rw [firstDiff_def] at hn
split_ifs at hn with h
· convert Nat.find_min (ne_iff.1 h) hn
simp
· exact (not_lt_zero' hn).elim
#align pi_nat.apply_eq_of_lt_first_diff PiNat.apply_eq_of_lt_firstDiff
theorem firstDiff_comm (x y : ∀ n, E n) : firstDiff x y = firstDiff y x := by
simp only [firstDiff_def, ne_comm]
#align pi_nat.first_diff_comm PiNat.firstDiff_comm
theorem min_firstDiff_le (x y z : ∀ n, E n) (h : x ≠ z) :
min (firstDiff x y) (firstDiff y z) ≤ firstDiff x z := by
by_contra! H
rw [lt_min_iff] at H
refine apply_firstDiff_ne h ?_
calc
x (firstDiff x z) = y (firstDiff x z) := apply_eq_of_lt_firstDiff H.1
_ = z (firstDiff x z) := apply_eq_of_lt_firstDiff H.2
#align pi_nat.min_first_diff_le PiNat.min_firstDiff_le
def cylinder (x : ∀ n, E n) (n : ℕ) : Set (∀ n, E n) :=
{ y | ∀ i, i < n → y i = x i }
#align pi_nat.cylinder PiNat.cylinder
theorem cylinder_eq_pi (x : ∀ n, E n) (n : ℕ) :
cylinder x n = Set.pi (Finset.range n : Set ℕ) fun i : ℕ => {x i} := by
ext y
simp [cylinder]
#align pi_nat.cylinder_eq_pi PiNat.cylinder_eq_pi
@[simp]
theorem cylinder_zero (x : ∀ n, E n) : cylinder x 0 = univ := by simp [cylinder_eq_pi]
#align pi_nat.cylinder_zero PiNat.cylinder_zero
theorem cylinder_anti (x : ∀ n, E n) {m n : ℕ} (h : m ≤ n) : cylinder x n ⊆ cylinder x m :=
fun _y hy i hi => hy i (hi.trans_le h)
#align pi_nat.cylinder_anti PiNat.cylinder_anti
@[simp]
theorem mem_cylinder_iff {x y : ∀ n, E n} {n : ℕ} : y ∈ cylinder x n ↔ ∀ i < n, y i = x i :=
Iff.rfl
#align pi_nat.mem_cylinder_iff PiNat.mem_cylinder_iff
theorem self_mem_cylinder (x : ∀ n, E n) (n : ℕ) : x ∈ cylinder x n := by simp
#align pi_nat.self_mem_cylinder PiNat.self_mem_cylinder
theorem mem_cylinder_iff_eq {x y : ∀ n, E n} {n : ℕ} :
y ∈ cylinder x n ↔ cylinder y n = cylinder x n := by
constructor
· intro hy
apply Subset.antisymm
· intro z hz i hi
rw [← hy i hi]
exact hz i hi
· intro z hz i hi
rw [hy i hi]
exact hz i hi
· intro h
rw [← h]
exact self_mem_cylinder _ _
#align pi_nat.mem_cylinder_iff_eq PiNat.mem_cylinder_iff_eq
theorem mem_cylinder_comm (x y : ∀ n, E n) (n : ℕ) : y ∈ cylinder x n ↔ x ∈ cylinder y n := by
simp [mem_cylinder_iff_eq, eq_comm]
#align pi_nat.mem_cylinder_comm PiNat.mem_cylinder_comm
theorem mem_cylinder_iff_le_firstDiff {x y : ∀ n, E n} (hne : x ≠ y) (i : ℕ) :
x ∈ cylinder y i ↔ i ≤ firstDiff x y := by
constructor
· intro h
by_contra!
exact apply_firstDiff_ne hne (h _ this)
· intro hi j hj
exact apply_eq_of_lt_firstDiff (hj.trans_le hi)
#align pi_nat.mem_cylinder_iff_le_first_diff PiNat.mem_cylinder_iff_le_firstDiff
theorem mem_cylinder_firstDiff (x y : ∀ n, E n) : x ∈ cylinder y (firstDiff x y) := fun _i hi =>
apply_eq_of_lt_firstDiff hi
#align pi_nat.mem_cylinder_first_diff PiNat.mem_cylinder_firstDiff
theorem cylinder_eq_cylinder_of_le_firstDiff (x y : ∀ n, E n) {n : ℕ} (hn : n ≤ firstDiff x y) :
cylinder x n = cylinder y n := by
rw [← mem_cylinder_iff_eq]
intro i hi
exact apply_eq_of_lt_firstDiff (hi.trans_le hn)
#align pi_nat.cylinder_eq_cylinder_of_le_first_diff PiNat.cylinder_eq_cylinder_of_le_firstDiff
| Mathlib/Topology/MetricSpace/PiNat.lean | 175 | 186 | theorem iUnion_cylinder_update (x : ∀ n, E n) (n : ℕ) :
⋃ k, cylinder (update x n k) (n + 1) = cylinder x n := by |
ext y
simp only [mem_cylinder_iff, mem_iUnion]
constructor
· rintro ⟨k, hk⟩ i hi
simpa [hi.ne] using hk i (Nat.lt_succ_of_lt hi)
· intro H
refine ⟨y n, fun i hi => ?_⟩
rcases Nat.lt_succ_iff_lt_or_eq.1 hi with (h'i | rfl)
· simp [H i h'i, h'i.ne]
· simp
|
import Mathlib.Algebra.Algebra.Quasispectrum
import Mathlib.FieldTheory.IsAlgClosed.Spectrum
import Mathlib.Analysis.Complex.Liouville
import Mathlib.Analysis.Complex.Polynomial
import Mathlib.Analysis.Analytic.RadiusLiminf
import Mathlib.Topology.Algebra.Module.CharacterSpace
import Mathlib.Analysis.NormedSpace.Exponential
import Mathlib.Analysis.NormedSpace.UnitizationL1
#align_import analysis.normed_space.spectrum from "leanprover-community/mathlib"@"d608fc5d4e69d4cc21885913fb573a88b0deb521"
open scoped ENNReal NNReal
open NormedSpace -- For `NormedSpace.exp`.
noncomputable def spectralRadius (𝕜 : Type*) {A : Type*} [NormedField 𝕜] [Ring A] [Algebra 𝕜 A]
(a : A) : ℝ≥0∞ :=
⨆ k ∈ spectrum 𝕜 a, ‖k‖₊
#align spectral_radius spectralRadius
variable {𝕜 : Type*} {A : Type*}
namespace spectrum
section SpectrumCompact
open Filter
variable [NormedField 𝕜] [NormedRing A] [NormedAlgebra 𝕜 A]
local notation "σ" => spectrum 𝕜
local notation "ρ" => resolventSet 𝕜
local notation "↑ₐ" => algebraMap 𝕜 A
@[simp]
| Mathlib/Analysis/NormedSpace/Spectrum.lean | 79 | 80 | theorem SpectralRadius.of_subsingleton [Subsingleton A] (a : A) : spectralRadius 𝕜 a = 0 := by |
simp [spectralRadius]
|
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